论文信息 - 4311 Works That Have Been Based on the Self-Organizing Map (SOM) Method Developed by Kohonen

4311 Works That Have Been Based on the Self-Organizing Map (SOM) Method Developed by Kohonen

[1] Omar Hammami. Performance impacts of superscalar microarchitecture on SOM execution , 1998, Proceedings 31st Annual Simulation Symposium.

[2] Erkki Oja,et al. Neural network and statistical perspectives of classification , 1996, Proceedings of 13th International Conference on Pattern Recognition.

[3] TamGas Geszti,et al. Physical Models of Neural Networks , 1990 .

[4] Ahmed Hemani. Self-organisation and its application to binding , 1993, The Sixth International Conference on VLSI Design.

[5] Teuvo Kohonen. Avaako neurolaskenta oven virtuaalimaailmaan , 1996 .

[6] Dieter Merkl,et al. Clinical gait analysis by neural networks: issues and experiences , 1997, Proceedings of Computer Based Medical Systems.

[7] G Roosen,et al. High-capacity photorefractive neural network implementing a kohonen topological map. , 2001, Applied optics.

[8] Teuvo Kohonen,et al. Self-organization and associative memory: 3rd edition , 1989 .

[9] Samuel Kaski,et al. Structures of Welfare and Poverty in the World Discovered by the Self-Organizing Map , 1995 .

[10] Piero Mussio,et al. Toward a Practice of Autonomous Systems , 1994 .

[11] Teuvo Kohonen,et al. Transient map method in stop consonant discrimination , 1989, EUROSPEECH.

[12] I. Kanellopoulos,et al. Urban land use mapping with multi-spectral and SAR satellite data using neural networks , 1997, IGARSS'97. 1997 IEEE International Geoscience and Remote Sensing Symposium Proceedings. Remote Sensing - A Scientific Vision for Sustainable Development.

[13] Geoffrey J. Goodhill,et al. Auto-SOM: Recursive Parameter Estimation for Guidance of Self-Organizing Feature Maps , 2001, Neural Computation.

[14] Olli Simula,et al. A learning vector quantization algorithm for probabilistic models , 2000, 2000 10th European Signal Processing Conference.

[15] Mikko Kurimo. Indexing Audio Documents by using Latent Semantic Analysis and SOM , 1999 .

[16] Kai Liu,et al. A novel large-memory neural network as an aid in medical diagnosis applications , 2001, IEEE Transactions on Information Technology in Biomedicine.

[17] S. Catrina. Nested network method for robot control , 1993 .

[18] T Kohonen. The Self-Organising Map, a Possible Model of Brain Maps , 1997 .

[19] Masafumi Hagiwara,et al. Kohonen feature maps as a supervised learning machine , 1993, IEEE International Conference on Neural Networks.

[20] Hsin-Chia Fu,et al. Neural nets for radio Morse code recognizing , 1993, Defense, Security, and Sensing.

[21] Satoru Kishida,et al. An Improvement of Algorithm using Kohonen's Self-Organizing Feature Map for the Traveling Salesman Problem , 1996 .

[22] R. Kohlus,et al. Knowledge Extraction by Self Organising Maps , 1993 .

[23] P. Gajewski. Channel assignment in CDMA systems with Walsh and PN coding , 2001, IEEE VTS 53rd Vehicular Technology Conference, Spring 2001. Proceedings (Cat. No.01CH37202).

[24] Ugur Halici,et al. Fingerprint classification through self-organizing feature maps modified to treat uncertainties , 1996, Proc. IEEE.

[25] Susan E. George,et al. Spatio-Temporal Analysis with the Self-Organizing Feature Map , 2000, Knowledge and Information Systems.

[26] G. G. Wilkinson,et al. Satellite image based land cover / land use classification of urban areas , 1997 .

[27] Human posture estimation method from a single image using genetic algorithm and fuzzy inference , 2000 .

[28] Wen-Tsuen Chen,et al. A neural network model which combines unsupervised and supervised learning , 1993, IEEE Trans. Neural Networks.

[29] T. Kostiainen,et al. Self-organizing map as a probability density model , 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

[30] Timo Honkela,et al. Contextual Relations of Words in Grimm Tales, Analyzed by Self-Organizing Map , 1995 .

[31] Russel J. Stonier,et al. Approximating rail locomotive dynamics using the SOCM network , 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

[32] Riccardo Rizzo,et al. An Adaptive Open Hypermedia System on the Web , 2000, AH.

[33] Karl Goser,et al. Neuro-fuzzy systems for engineering applications , 1996, Proceedings of IEEE. AFRICON '96.

[34] Teuvo Kohonen. Data Mining by the Self-Organizing Map Method , 2000 .

[35] Patrick M. Kelly,et al. An adaptive algorithm for modifying hyperellipsoidal decision surfaces , 1992, [Proceedings 1992] IJCNN International Joint Conference on Neural Networks.

[36] Sung-Hyon Myaeng,et al. Image organization and retrieval with automatically constructed feature vectors , 1996, SIGIR '96.

[37] Edmund Handschin,et al. Visualization and Analysis of Voltage Stability Using Self-Organizing Neural Networks , 1997, ICANN.

[38] Bernd Fritzke. Vector Quantization with a Growing and Splitting Elastic Net , 1993 .

[39] W. Schmitt,et al. A New Method for Acoustic Leak Detection at Complicated Geometrical Structures , 1994 .

[40] Misha Mahowald,et al. A Spike Based Learning Neuron in Analog VLSI , 1996, NIPS.

[41] M Feinsod,et al. A comparison of neural network and Bayes recognition approaches in the evaluation of the brainstem trigeminal evoked potentials in multiple sclerosis. , 1996, International journal of bio-medical computing.

[42] Suchendra M. Bhandarkar,et al. A multilayer self-organizing feature map for range image segmentation , 1995, Neural Networks.

[43] Samuel Kaski,et al. Bankruptcy analysis with self-organizing maps in learning metrics , 2001, IEEE Trans. Neural Networks.

[44] Klaus Obermayer,et al. An Annealed Self-Organizing Map for Source Channel Coding , 1997, NIPS.

[45] Kin Keung Lai,et al. Solving the AGV Problem via a Self-Organizing Neural Network , 1996 .

[46] S. Garavaglia,et al. A heuristic self-organizing map trained using the Tanimoto coefficient , 1998, 1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227).

[47] Nils Goerke,et al. Self organized classification of chaotic domains from a nonlinear attractor , 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

[48] Hubert Rehborn,et al. Classification of Traffic Situations by Using Neural Networks , 1994, ECAI.

[49] W. Eppler,et al. Optimization of piecewise linear networks (PLN) by pruning , 2001, Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569).

[50] Jari Kangas. Increasing the Error Tolerance in Transmission of Vector Quantized Images by Self-organizing Map 1. Image Vector Quantization Using Self-organizing Maps , 1995 .

[51] Joachim M. Buhmann,et al. Unsupervised and supervised data clustering with competitive neural networks , 1992, [Proceedings 1992] IJCNN International Joint Conference on Neural Networks.

[52] K. Torkkola,et al. Training continuous density hidden Markov models in association with self-organizing maps and LVQ , 1992, Neural Networks for Signal Processing II Proceedings of the 1992 IEEE Workshop.

[53] Wen-Jyi Hwang,et al. A novel competitive learning algorithm for the parametric classification with Gaussian distributions , 2000, Pattern Recognit. Lett..

[54] Shigeru Katagiri,et al. A new HMM/LVQ hybrid algorithm for speech recognition , 1990, [Proceedings] GLOBECOM '90: IEEE Global Telecommunications Conference and Exhibition.

[55] Leonardo Maria Reyneri,et al. Neural networks-extraordinary variation , 1995, IEEE Micro.

[56] Wesley E. Snyder,et al. Using a hyper-ellipsoid clustering Kohonen for autonomous mobile robot map building, place recognition and motion planning , 1997, Proceedings of International Conference on Neural Networks (ICNN'97).

[57] T. Harris. A Kohonen SOM based, machine health monitoring system which enables diagnosis of faults not seen in the training set , 1993, Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan).

[58] Olli Ventä,et al. Phonetic typewriter for Finnish and Japanese , 1988, ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing.

[59] Nasser M. Nasrabadi,et al. Modular wavelet-based vector quantization for automatic target recognition , 1996, 1996 IEEE/SICE/RSJ International Conference on Multisensor Fusion and Integration for Intelligent Systems (Cat. No.96TH8242).

[60] Tom Heskes,et al. Self-organizing maps, vector quantization, and mixture modeling , 2001, IEEE Trans. Neural Networks.

[61] Y. Cheng,et al. Clustering with competing self-organizing maps , 1992, [Proceedings 1992] IJCNN International Joint Conference on Neural Networks.

[62] Nanda Kambhatla,et al. Classifying with Gaussian Mixtures and Clusters , 1994, NIPS.

[63] Tadashi Kitamura,et al. Speaker recognition model using two-dimensional mel-cepstrum and predictive neural network , 1996, Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP '96.

[64] Teuvo Kohonen. Spotting Relevant Information in Extremely Large Document Collections , 1999, Fuzzy Days.

[65] J. P. Card,et al. SRAM bitmap shape recognition and sorting using neural networks , 1995 .

[66] Samuel Kaski,et al. Dimensionality reduction by random mapping: fast similarity computation for clustering , 1998, 1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227).

[67] Pietro G. Morasso,et al. Soft-competitive versus EM learning in cortical map modeling , 1999 .

[68] P Hammond,et al. Classifying Vertical Facial Deformity using Supervised and Unsupervised Learning , 2001, Methods of Information in Medicine.

[69] B.J.A. Kröse,et al. Self-learning maps for path planning in sensor space , 1994 .

[70] Wisnu Jatmiko,et al. Fuzzy learning vector quantization neural network and its application for artificial odor recognition system , 2000, SPIE Defense + Commercial Sensing.

[71] Teuvo Kohonen,et al. Exploration of large document collections by self-organizing maps , 1998 .

[72] GraepelMatthias,et al. Deterministic Annealing for Topographic VectorQuantization and Self-Organizing MapsThore , 1997 .

[73] J. Henseler. Connections, neurons and activation : the organization of representation in artificial neural networks , 1993 .

[74] A. L'Abbate,et al. A model of the topology of coronary perfusion based on self-organizing maps , 1997, Computers in Cardiology 1997.

[75] K. Paithoonwattanakij,et al. Image segmentation by fuzzy rule and Kohonen-constraint satisfaction fuzzy C-mean , 1997, Proceedings of ICICS, 1997 International Conference on Information, Communications and Signal Processing. Theme: Trends in Information Systems Engineering and Wireless Multimedia Communications (Cat..

[76] Sung-Bae Cho,et al. Self-Organizing Map with Dynamical Node Splitting: Application to Handwritten Digit Recognition , 1997, Neural Computation.

[77] George K. Knopf,et al. Trinocular data registration using a three-dimensional self-organizing feature map , 2000, Smc 2000 conference proceedings. 2000 ieee international conference on systems, man and cybernetics. 'cybernetics evolving to systems, humans, organizations, and their complex interactions' (cat. no.0.

[78] Jyrki Saarinen,et al. Characterization of random rough surfaces from scattered intensities by neural networks , 2001 .

[79] Ling Guan,et al. Feature extraction of chromosomes from 3-D confocal microscope images , 2001, IEEE Trans. Biomed. Eng..

[80] Masafumi Hagiwara,et al. Self-organizing multi-layer semantic maps , 1991 .

[81] Nasser M. Nasrabadi,et al. Automatic Target Recognition Using Wavelet-Based Vector Quantization , 1997 .

[82] Volkan Atalay,et al. Unsupervised segmentation of gray level Markov model textures with hierarchical self organizing maps , 1996, Proceedings of 13th International Conference on Pattern Recognition.

[83] C. C. Wang,et al. Comparison of PD classification capabilities for transformer failure and typical noise models with neural network applications , 2000, 2000 Annual Report Conference on Electrical Insulation and Dielectric Phenomena (Cat. No.00CH37132).

[84] Tang Haitao,et al. The Optimal Utilization of Multi-Service SCP , 1997 .

[85] Teuvo Kohonen,et al. Emergence of invariant-feature detectors in the adaptive-subspace self-organizing map , 1996, Biological Cybernetics.

[86] N. Okino,et al. First passage time analysis of topologically correct feature maps in discrete Kohonen networks , 1993, Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan).

[87] Samuel Kaski,et al. Self organization of a massive document collection , 2000, IEEE Trans. Neural Networks Learn. Syst..

[88] Dieter Merkl,et al. Experiments in Gait Pattern Classification with Neural Networks of Adaptive Architecture , 1998 .

[89] Yoichi Sugita,et al. Sensor Diagnosis System Combining Immune Network and Learning Vector Quantization , 1995 .

[90] Joseph Thomas Gengo. Application of neural networks to the F/A-18 Engine Condition Monitoring System , 1989 .

[91] Sushil Chauhan,et al. Kohonen neural network classifier for voltage collapse margin estimation , 1997 .

[92] Z. Houkes,et al. Texture segmentation based on wavelet and Kohonen network for remotely sensed images , 1999, IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028).

[93] Karl Goser,et al. Selbstorganisierende Parameterkarten zur Prozeßüberwachung und -voraussage , 1989, Wissensbasierte Systeme.

[94] Tzyy-Ping Jung,et al. The effects of distortion measures and feature sets on neural network classifiers , 1990, 1990 IJCNN International Joint Conference on Neural Networks.

[95] Teuvo Kohonen,et al. Things you haven't heard about the self-organizing map , 1993, IEEE International Conference on Neural Networks.

[96] W Sperling,et al. Risk assessment of alcohol withdrawal seizures with a Kohonen feature map , 2001, Neuroreport.

[97] Yung-Sheng Chen,et al. Primary‐view perception on a gray image: Region segmentation and association , 2001 .

[98] Thomas Villmann,et al. Vector Quantization by Optimal Neural Gas , 1997, ICANN.

[99] Mohamed L. Hambaba. Intelligent hybrid system for data mining , 1996, IEEE/IAFE 1996 Conference on Computational Intelligence for Financial Engineering (CIFEr).

[100] Guang-Bin Huang,et al. Ordering of Self-Organizing Maps in Multidimensional Cases , 1998, Neural Computation.

[101] Toshimichi Saito,et al. An Adaptive Self-Organizing Algorithm with Virtual Connection , 1998, J. Adv. Comput. Intell. Intell. Informatics.

[102] M Giacomini,et al. Application of artificial neural network for the identification of fresh water bacteria. , 2000, Studies in health technology and informatics.

[103] Ulrich Rückert,et al. A bootstrapping method for autonomous and in site learning of generic navigation behaviour , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

[104] N. Kashiwagi,et al. Heating and cooling load prediction using a neural network system , 1993, Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan).

[105] T. Kohonen,et al. Coloring that reveals high-dimensional structures in data , 1999, ICONIP'99. ANZIIS'99 & ANNES'99 & ACNN'99. 6th International Conference on Neural Information Processing. Proceedings (Cat. No.99EX378).

[106] Timo Hämäläinen,et al. Mappings of SOM and LVQ on the partial tree shape neurocomputer , 1997, Proceedings of International Conference on Neural Networks (ICNN'97).

[107] Toshio Okamoto,et al. Exploratory Activity Support Based on a Semantic Feature Map , 2000, AH.

[108] William S. Hortos. Application of neural networks to the dynamic spatial distribution of nodes within an urban wireless network , 1995, SPIE Defense + Commercial Sensing.

[109] Jinsang Kim,et al. Multiple feature clustering for image sequence segmentation , 2001, Pattern Recognit. Lett..

[110] Susan E. George. A VISUALIZATION AND DESIGN TOOL (AVID) FOR DATA MINING WITH THE SELF-ORGANIZING FEATURE MAP , 2000 .

[111] Nicolaos B. Karayiannis,et al. Soft learning vector quantization and clustering algorithms based on ordered weighted aggregation operators , 2000, IEEE Trans. Neural Networks Learn. Syst..

[112] Teuvo Kohonen,et al. Self-Organizing Maps of Massive Databases , 2001 .

[113] Tom Heskes,et al. EM algorithms for self-organizing maps , 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

[114] Paul D. Gader,et al. Robust handwritten word recognition with fuzzy sets , 1995, Proceedings of 3rd International Symposium on Uncertainty Modeling and Analysis and Annual Conference of the North American Fuzzy Information Processing Society.

[115] Samuel Kaski,et al. Self organization of a massive text document collection , 1999 .

[116] Sigeru Omatu,et al. Extended LVQ Neural Network Approach to Land Cover Mapping , 1999, IEEE Trans. Geosci. Remote. Sens..

[117] A. Hierlemann,et al. Analysis Of Complex Gas Mixtures By Pattern Recognition With Polymer Based Quartz Microbalance Sensor Arrays , 1995, Proceedings of the International Solid-State Sensors and Actuators Conference - TRANSDUCERS '95.

[118] Teuvo Kohonen,et al. Generalizations of the self-organizing map , 1993, Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan).

[119] Anil K. Jain,et al. A nonlinear projection method based on Kohonen's topology preserving maps , 1992, IEEE Trans. Neural Networks.

[120] Mohamed Ibnkahla,et al. Applications of neural networks to digital communications - a survey , 2000, Signal Process..

[121] Kurt Hornik,et al. Convergence of learning algorithms with constant learning rates , 1991, IEEE Trans. Neural Networks.

[122] Tereza Cavazos. Using Self-Organizing Maps to Investigate Extreme Climate Events: An Application to Wintertime Precipitation in the Balkans , 2000 .

[123] A. Kurdila,et al. Adaptation of centers of approximation for nonlinear tracking control , 1992 .

[124] Hiroshi Ishikawa,et al. Document warehousing: a document-intensive application of a multimedia database , 2001, Proceedings Eleventh International Workshop on Research Issues in Data Engineering. Document Management for Data Intensive Business and Scientific Applications. RIDE 2001.

[125] Eitan Muller,et al. Product Positioning Using Principles from the Self-Organizing Map , 2001, ICANN.

[126] Cheng-Lin Liu,et al. Prototype learning algorithms for nearest neighbor classifier with application to handwritten character recognition , 1999, Proceedings of the Fifth International Conference on Document Analysis and Recognition. ICDAR '99 (Cat. No.PR00318).

[127] M. Herrmann. Self-Organizing Feature Maps with Self-Organizing Neighborhood Widths , 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.

[128] Toshio Okamoto,et al. A semantic map approach to a navigation system for exploratory learning in hyperspace , 1999, IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028).

[129] Teuvo Kohonen,et al. The self-organizing map , 1990, Neurocomputing.

[130] Heikki Hyötyniemi. Text Document Classification with Self-Organizing Maps , 1996 .

[131] B. Fritzke,et al. A growing and splitting elastic network for vector quantization , 1993, Neural Networks for Signal Processing III - Proceedings of the 1993 IEEE-SP Workshop.

[132] Michael H. Gera. Finding Multi-Faculty Structure , 1992 .

[133] Klaus Obermayer,et al. A Stochastic Self-Organizing Map for Proximity Data , 1999, Neural Computation.

[134] Yianni Attikiouzel,et al. Self-organized color image quantization for color image data compression , 1993, IEEE International Conference on Neural Networks.

[135] Siu Cheung Hui,et al. Mining a web citation database for document clustering , 2002, Appl. Artif. Intell..

[136] William S. Hortos. Self-organizing feature maps for dynamic control of radio resources in CDMA microcellular networks , 1998, Defense, Security, and Sensing.

[137] H. Fujita,et al. Pattern classification of waveforms using LVQ1 , 1993, Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan).

[138] M Herrmann,et al. Optimal Magniication Factors in Self-organizing Feature Maps , 1995 .

[139] Melody Y. Kiang,et al. An Evaluation of Self-Organizing Map Networks as a Robust Alternative to Factor Analysis in Data Mining Applications , 2001, Inf. Syst. Res..

[140] CHRISTOPH BUSCH,et al. Wavelet based texture segmentation of multi-modal tomographic images , 1997, Comput. Graph..

[141] Jean-Philippe Urban,et al. Cooperation of neural networks applied to a robotic hand-eye coordination task , 1995, 1995 IEEE International Conference on Systems, Man and Cybernetics. Intelligent Systems for the 21st Century.

[142] Tom Heskes,et al. Neural networks learning in a changing environment , 1991, IJCNN-91-Seattle International Joint Conference on Neural Networks.

[143] Nicolaos B. Karayiannis,et al. Segmentation of magnetic resonance images using fuzzy algorithms for learning vector quantization , 1999, IEEE Transactions on Medical Imaging.

[144] Khan M. Iftekharuddin,et al. Constraints in distortion-invariant target recognition system simulation , 2000, SPIE Optics + Photonics.

[145] P. Ienne,et al. Performance of digital neuro-computers , 1994, Proceedings of the Fourth International Conference on Microelectronics for Neural Networks and Fuzzy Systems.

[146] Olli Simula,et al. Prediction Models and Sensitivity Analysis of Industrial Process Parameters by Using the Self-Organizing Map , 1996 .

[147] Mikko Kurimo,et al. Combining LVQ with continuous-density hidden Markov models in speech recognition , 1992, Optics & Photonics.

[148] J. Q. Hu,et al. Fuzzy Model Using a Modified LVQ Network for Sinter Strand Process , 1996 .

[149] Rhee Man Kil. Vector Quantization Based on Genetic Algorithm , 1995 .

[150] Majid Mirmehdi,et al. Grouping of directional features using an extended Hough transform , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

[151] Kikuo Fujimura,et al. Optimization of Electronic Parts Mounting Machines using SOM-TSP Method with 5 Dimensional Data , 2001, WSOM.

[152] Eugenio Faldella,et al. A neural approach to robotic haptic recognition of 3-D objects based on a Kohonen self-organizing feature map , 1994, Proceedings of IECON'94 - 20th Annual Conference of IEEE Industrial Electronics.

[153] Jung-Hyun Lee,et al. A Bayesian neural network model for dynamic web document clustering , 1999, Proceedings of IEEE. IEEE Region 10 Conference. TENCON 99. 'Multimedia Technology for Asia-Pacific Information Infrastructure' (Cat. No.99CH37030).

[154] R. Chellappa,et al. Texture analysis via unsupervised and supervised learning , 1991, IJCNN-91-Seattle International Joint Conference on Neural Networks.

[155] Albrecht Rau,et al. Statistical mechanics of neural networks , 1992 .

[156] Jukka Heikkonen,et al. Recurrent SOM with local linear models in time series prediction , 1998, ESANN.

[157] D. Neef. A Little Knowledge Is a Dangerous Thing , 1998 .

[158] R. J. Kuo,et al. A fuzzy Kohonen's feature map neural network with application to group technology , 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

[159] Pedro Gómez Vilda,et al. Non supervised neural net applied to the detection of voice impairment , 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

[160] Panu Hämäläinen,et al. PARNEU: general-purpose partial tree computer , 2000, Microprocess. Microsystems.

[161] Christian Jutten,et al. Adaptive Optimization of Neural Algorithms , 1991, IWANN.

[162] Aldo von Wangenheim,et al. Data-driven registration for local deformations , 1996, Pattern Recognit. Lett..

[163] Pietro G. Morasso,et al. Application of Self-Organizing Networks to Signal Processing , 1990, EURASIP Workshop.

[164] Patrick Thiran. Kohonen Self-Organizing Map with quantized weights , 1999 .

[165] Dieter Merkl,et al. Visualizing Similarities in High Dimensional Input Spaces with a Growing and Splitting Neural Network , 1996, ICANN.

[166] Robert O. Harger. Object detection in clutter with learning maps , 1992, Photonics West - Lasers and Applications in Science and Engineering.

[167] Shogo Miyake,et al. Self-organization of orientation maps in a formal neuron model using a cluster learning rule , 2000, Neural Networks.

[168] Paolo Ienne,et al. Modified self-organizing feature map algorithms for efficient digital hardware implementation , 1997, IEEE Trans. Neural Networks.

[169] W. Byrne,et al. Classification of multi-spectral remote sensing data with neural networks: a comparative study , 1994 .

[170] Nils Goerke,et al. Self Organized Partitioning of Chaotic Attractors for Control , 2001, ICANN.

[171] Sankar K. Pal,et al. Neural network, self-organization and object extraction , 1992, Pattern Recognit. Lett..

[172] Peter J. Braspenning,et al. Membrain: A cellular neural network model based on a vibrating membrane , 1992, Int. J. Circuit Theory Appl..

[173] Heikki Hyötyniemi. Constructing non-orthogonal feature bases , 1996, Proceedings of International Conference on Neural Networks (ICNN'96).

[174] Shigeo Sakaue,et al. Recognition of handwritten numeric characters using neural networks designed on approximate reasoning architecture , 1993, Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan).

[175] T. Kohonen. Workstation-based phonetic typewriter , 1991, Neural Networks for Signal Processing Proceedings of the 1991 IEEE Workshop.

[176] Peter Kadar. Neural network based pattern matching application to power system signal processing , 1997 .

[177] Hisahito Ogawa,et al. Optical neural network having a function of relative feature extraction without inhibitory connections , 1993, Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan).

[178] James C. Bezdek,et al. Repairs to GLVQ: a new family of competitive learning schemes , 1996, IEEE Trans. Neural Networks.

[179] Qing-Guo Wang,et al. An extended self-organizing map for nonlinear system identification , 1999, Proceedings of the 38th IEEE Conference on Decision and Control (Cat. No.99CH36304).

[180] William S. Hortos. Adaptive Radio Resource Control via Cascaded Neural Networks for Sequenced Propagation Estimation and Multi-user Detection in Third-generation Wireless Networks , 2000 .

[181] Teuvo Kohonen,et al. Exploration of very large databases by self-organizing maps , 1997, Proceedings of International Conference on Neural Networks (ICNN'97).

[182] Yuping He,et al. A charge-based on-chip adaptation Kohonen neural network , 1993, IEEE Trans. Neural Networks.

[183] István Csabai,et al. Dynamics of the Kohonen map , 1990 .

[184] Wan-Chi Siu,et al. Peak detection in Hough transform via self-organizing learning , 1995, Proceedings of ISCAS'95 - International Symposium on Circuits and Systems.

[185] Ricardo Gutierrez-Osuna,et al. Global self-localization for autonomous mobile robots using self-organizing Kohonen neural networks , 1995, Proceedings 1995 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human Robot Interaction and Cooperative Robots.

[186] A. Golbraikh,et al. Validation of protein-based alignment in 3D quantitative structure-activity relationships with CoMFA models. , 2000, European journal of medicinal chemistry.

[187] Olaf Breidbach,et al. Self-organized feature maps and information theory , 1997 .

[188] Sung-Bae Cho,et al. Improvement of Classification Rate of Handwritten Digits by Combining Multiple Dynamic Topology-Preserving Self-Organizing Maps , 2001 .

[189] Douglas B. Kell,et al. Plant seed classification using pyrolysis mass spectrometry with unsupervised learning: The application of auto-associative and Kohonen artificial neural networks , 1996 .

[190] Toshiki Kindo,et al. Competitive Models for Unsupervised Clustering , 1996 .

[191] Christian Morel,et al. Approximate reconstruction of PET data with a self-organizing neural network , 1995, IEEE Trans. Neural Networks.

[192] Nikola Kasabov. Artificial neural networks for intelligent information processing , 2001 .

[193] Olli Ventä,et al. Microprocessor implementation of a large vocabulary speech recognizer and phonetic typewriter for Finnish and Japanese , 1987, ECST.

[194] Luc Girardin. An Eye on Network Intruder-Administrator Shootouts , 1999, Workshop on Intrusion Detection and Network Monitoring.

[195] Timo Honkela,et al. Self-Organizing Maps of Very Large Document Collections: Justification for the WEBSOM Method , 1998 .

[196] M Giacomini,et al. Objective evaluation of two markers of HIV-1 infection (p24 antigen concentration and CD4+ cell counts) by a self organizing neural network. , 1996, Medical informatics = Medecine et informatique.

[197] N. Karayiannis. Ordered weighted learning vector quantization and clustering algorithms , 1998, 1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228).

[198] Phuoc Tran-Gia,et al. Classification of Parkinson rating-scale-data using a selforganising neural net , 1993, IEEE International Conference on Neural Networks.

[199] James Ting-Ho Lo,et al. Push-and-pull for piecewise linear machine training , 1992, [Proceedings 1992] IJCNN International Joint Conference on Neural Networks.

[200] G. G. Coghill,et al. Soft competitive learning in the extended differentiator network , 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).

[201] Yinong Chen,et al. The temporal correlation hypothesis for self-organizing feature maps , 2000, Int. J. Syst. Sci..

[202] Michel Declercq,et al. Implementation of a neuron dedicated to Kohonen maps with learning capabilities , 1990, IEEE Proceedings of the Custom Integrated Circuits Conference.

[203] Shigeru Katagiri,et al. Speaker-independent large vocabulary word recognition using an LVQ/HMM hybrid algorithm , 1991, [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing.

[204] Mikko Kurimo. Fast latent semantic indexing of spoken documents by using self-organizing maps , 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

[205] J.A.F. Costa,et al. A new tree-structured self-organizing map for data analysis , 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

[206] Susan B. Garavaglia,et al. Health care customer satisfaction survey analysis using self-organizing maps and "exponentially smeared" data vectors , 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

[207] Markus H. Gross,et al. Multiscale image texture analysis in wavelet spaces , 1994, Proceedings of 1st International Conference on Image Processing.

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