An Interval Type-2 Neural Fuzzy Classifier Learned Through Soft Margin Minimization and its Human Posture Classification Application
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[1] Chia-Feng Juang,et al. An accuracy-oriented self-splitting fuzzy classifier with support vector learning in high-order expanded consequent space , 2014, Appl. Soft Comput..
[2] Nello Cristianini,et al. An Introduction to Support Vector Machines and Other Kernel-based Learning Methods , 2000 .
[3] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[4] M. Negnevitsky,et al. A Neural-Fuzzy Classifier for Recognition of Power Quality Disturbances , 2002, IEEE Power Engineering Review.
[5] Chia-Feng Juang,et al. An Interval Type-2 Fuzzy-Neural Network With Support-Vector Regression for Noisy Regression Problems , 2010, IEEE Transactions on Fuzzy Systems.
[6] Costin Barbu,et al. Fuzzy component based object detection , 2007, Int. J. Approx. Reason..
[7] Gin-Der Wu,et al. A Maximizing-Discriminability-Based Self-Organizing Fuzzy Network for Classification Problems , 2010, IEEE Transactions on Fuzzy Systems.
[8] Claudio A. Perez,et al. Extracting Fuzzy Rules From Polysomnographic Recordings for Infant Sleep Classification , 2006, IEEE Transactions on Biomedical Engineering.
[9] Anup Basu,et al. Human Activity Recognition Based on Silhouette Directionality , 2008, IEEE Transactions on Circuits and Systems for Video Technology.
[10] Robert Ivor John,et al. On Constructing Parsimonious Type-2 Fuzzy Logic Systems via Influential Rule Selection , 2009, IEEE Transactions on Fuzzy Systems.
[11] Hani Hagras,et al. Towards the Wide Spread Use of Type-2 Fuzzy Logic Systems in Real World Applications , 2012, IEEE Computational Intelligence Magazine.
[12] Yannick Benezeth,et al. Posture Recognition Based on Fuzzy Logic for Home Monitoring of the Elderly , 2012, IEEE Transactions on Information Technology in Biomedicine.
[13] Pradipta Kishore Dash,et al. Measurement and Classification of Simultaneous Power Signal Patterns With an S-Transform Variant and Fuzzy Decision Tree , 2013, IEEE Transactions on Industrial Informatics.
[14] J. Mendel. Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions , 2001 .
[15] Chia-Feng Juang,et al. Hierarchical Singleton-Type Recurrent Neural Fuzzy Networks for Noisy Speech Recognition , 2007, IEEE Transactions on Neural Networks.
[16] Chia-Feng Juang,et al. A Fuzzy Model With Online Incremental SVM and Margin-Selective Gradient Descent Learning for Classification Problems , 2014, IEEE Transactions on Fuzzy Systems.
[17] Chia-Feng Juang,et al. Speedup of Implementing Fuzzy Neural Networks With High-Dimensional Inputs Through Parallel Processing on Graphic Processing Units , 2011, IEEE Transactions on Fuzzy Systems.
[18] Kevin Barraclough,et al. I and i , 2001, BMJ : British Medical Journal.
[19] Chia-Feng Juang,et al. Fuzzy System Learned Through Fuzzy Clustering and Support Vector Machine for Human Skin Color Segmentation , 2007, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.
[20] José de Jesús Rubio,et al. SOFMLS: Online Self-Organizing Fuzzy Modified Least-Squares Network , 2009, IEEE Transactions on Fuzzy Systems.
[21] Chin-Teng Lin,et al. Support-vector-based fuzzy neural network for pattern classification , 2006, IEEE Transactions on Fuzzy Systems.
[22] Chia-Feng Juang,et al. A Type-2 Self-Organizing Neural Fuzzy System and Its FPGA Implementation , 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[23] John Q. Gan,et al. Constructing L2-SVM-Based Fuzzy Classifiers in High-Dimensional Space With Automatic Model Selection and Fuzzy Rule Ranking , 2007, IEEE Transactions on Fuzzy Systems.
[24] Oscar Castillo,et al. Application of interval type-2 fuzzy neural networks in non-linear identification and time series prediction , 2014, Soft Comput..
[25] Narasimhan Sundararajan,et al. A Metacognitive Neuro-Fuzzy Inference System (McFIS) for Sequential Classification Problems , 2013, IEEE Transactions on Fuzzy Systems.
[26] Chia-Feng Juang,et al. An incremental support vector machine-trained TS-type fuzzy system for online classification problems , 2011, Fuzzy Sets Syst..
[27] Larry S. Davis,et al. W4: Real-Time Surveillance of People and Their Activities , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[28] Robert Nowicki,et al. Rough Neuro-Fuzzy Structures for Classification With Missing Data , 2009, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[29] Chin-Teng Lin,et al. An online self-constructing neural fuzzy inference network and its applications , 1998, IEEE Trans. Fuzzy Syst..
[30] S. Katebi,et al. Protein Superfamily Classification Using Fuzzy Rule-Based Classifier , 2009, IEEE Transactions on NanoBioscience.
[31] Chia-Feng Juang,et al. Human Body Posture Classification by a Neural Fuzzy Network and Home Care System Application , 2007, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.
[32] Oscar Castillo,et al. Interval type-2 fuzzy weight adjustment for backpropagation neural networks with application in time series prediction , 2014, Inf. Sci..
[33] Hisao Ishibuchi,et al. Hybridization of fuzzy GBML approaches for pattern classification problems , 2005, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[34] Oscar Castillo,et al. A hybrid learning algorithm for a class of interval type-2 fuzzy neural networks , 2009, Inf. Sci..
[35] Miao Yu,et al. A Posture Recognition-Based Fall Detection System for Monitoring an Elderly Person in a Smart Home Environment , 2012, IEEE Transactions on Information Technology in Biomedicine.
[36] Chin-Teng Lin,et al. An Efficient Human Detection System Using Adaptive Neural Fuzzy Networks , 2008 .
[37] Ester Bernadó-Mansilla,et al. Genetic-based machine learning systems are competitive for pattern recognition , 2008, Evol. Intell..
[38] Nikhil R. Pal,et al. An Integrated Mechanism for Feature Selection and Fuzzy Rule Extraction for Classification , 2012, IEEE Transactions on Fuzzy Systems.
[39] Chia-Feng Juang,et al. A Self-Organizing TS-Type Fuzzy Network With Support Vector Learning and its Application to Classification Problems , 2007, IEEE Transactions on Fuzzy Systems.
[40] Amit Konar,et al. General and Interval Type-2 Fuzzy Face-Space Approach to Emotion Recognition , 2013, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[41] Chia-Feng Juang,et al. Object Detection Using Color Entropies and a Fuzzy Classifier , 2013, IEEE Computational Intelligence Magazine.
[42] Jesús Alcalá-Fdez,et al. A Fuzzy Association Rule-Based Classification Model for High-Dimensional Problems With Genetic Rule Selection and Lateral Tuning , 2011, IEEE Transactions on Fuzzy Systems.
[43] Jeng-Shyang Pan,et al. Fuzzy Rules Interpolation for Sparse Fuzzy Rule-Based Systems Based on Interval Type-2 Gaussian Fuzzy Sets and Genetic Algorithms , 2013, IEEE Transactions on Fuzzy Systems.
[44] Marley M. B. R. Vellasco,et al. Computing derivatives in interval type-2 fuzzy logic systems trained by steepest descent method for fault classification in a switch machine , 2017, 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).
[45] Chia-Feng Juang,et al. Evolutionary Robot Wall-Following Control Using Type-2 Fuzzy Controller With Species-DE-Activated Continuous ACO , 2013, IEEE Transactions on Fuzzy Systems.
[46] Gin-Der Wu,et al. A TS-Type Maximizing-Discriminability-Based Recurrent Fuzzy Network for Classification Problems , 2011, IEEE Transactions on Fuzzy Systems.
[47] Okyay Kaynak,et al. Type 2 Fuzzy Neural Structure for Identification and Control of Time-Varying Plants , 2010, IEEE Transactions on Industrial Electronics.
[48] Yixin Chen,et al. Support vector learning for fuzzy rule-based classification systems , 2003, IEEE Trans. Fuzzy Syst..
[49] Chia-Feng Juang,et al. Reduced Interval Type-2 Neural Fuzzy System Using Weighted Bound-Set Boundary Operation for Computation Speedup and Chip Implementation , 2013, IEEE Transactions on Fuzzy Systems.
[50] Chia-Feng Juang,et al. A Self-Evolving Interval Type-2 Fuzzy Neural Network With Online Structure and Parameter Learning , 2008, IEEE Transactions on Fuzzy Systems.
[51] Chia-Feng Juang,et al. A TS Fuzzy System Learned Through a Support Vector Machine in Principal Component Space for Real-Time Object Detection , 2012, IEEE Transactions on Industrial Electronics.
[52] Chia-Feng Juang,et al. Vision-based human body posture recognition using support vector machines , 2012, 4th International Conference on Awareness Science and Technology.
[53] Hani Hagras,et al. A Type-2 Fuzzy Ontology and Its Application to Personal Diabetic-Diet Recommendation , 2010, IEEE Transactions on Fuzzy Systems.
[54] Plamen P. Angelov,et al. Evolving Fuzzy-Rule-Based Classifiers From Data Streams , 2008, IEEE Transactions on Fuzzy Systems.
[55] Jerry M. Mendel,et al. Computing derivatives in interval type-2 fuzzy logic systems , 2004, IEEE Transactions on Fuzzy Systems.
[56] Chia-Feng Juang,et al. Reinforcement Ant Optimized Fuzzy Controller for Mobile-Robot Wall-Following Control , 2009, IEEE Transactions on Industrial Electronics.
[57] Eghbal G. Mansoori,et al. SGERD: A Steady-State Genetic Algorithm for Extracting Fuzzy Classification Rules From Data , 2008, IEEE Transactions on Fuzzy Systems.