Learning-by-examples techniques as applied to electromagnetics
暂无分享,去创建一个
Paolo Rocca | Andrea Massa | Giacomo Oliveri | Nicola Anselmi | Marco Salucci | P. Rocca | M. Salucci | G. Oliveri | A. Massa | N. Anselmi | P. Rocca | A. Massa
[1] Tsung-Nan Lin,et al. Application of neural networks to analyses of nonlinearly loaded antenna arrays including mutual coupling effects , 2005, IEEE Transactions on Antennas and Propagation.
[2] John W. Bandler,et al. Reliable Microwave Modeling by Means of Variable-Fidelity Response Features , 2015, IEEE Transactions on Microwave Theory and Techniques.
[3] Filiz Güneş,et al. KNOWLEDGE-BASED SUPPORT VECTOR SYNTHESIS OF THE MICROSTRIP LINES , 2009 .
[4] P. Rocca,et al. Complex radome design through the Systems-by-Design approach , 2015, 2015 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting.
[5] Jose C. Principe,et al. Handbook of Neural Network Signal Processing , 2018 .
[6] Zhimin Zhou,et al. Ultrawideband Synthetic Aperture Radar Landmine Detection , 2007, IEEE Transactions on Geoscience and Remote Sensing.
[7] Jin Au Kong,et al. Support Vector Machine and Neural Network Classification of Metallic Objects Using Coefficients of the Spheroidal MQS Response Modes , 2008, IEEE Transactions on Geoscience and Remote Sensing.
[8] Marc Lambert,et al. Kriging-based generation of optimal databases as forward and inverse surrogate models , 2010 .
[9] Michael Georgiopoulos,et al. Applications of Neural Networks in Electromagnetics , 2001 .
[10] G. F. Hughes,et al. On the mean accuracy of statistical pattern recognizers , 1968, IEEE Trans. Inf. Theory.
[11] Rae. Z.H. Aliyev,et al. Interpolation of Spatial Data , 2018, Biomedical Journal of Scientific & Technical Research.
[12] E.K. Murphy,et al. RBF network optimization of complex microwave systems represented by small FDTD modeling data sets , 2006, IEEE Transactions on Microwave Theory and Techniques.
[13] Luigi Bianchi,et al. Movement Detection of Human Body Segments: Passive radio-frequency identification and machine-learning technologies. , 2015, IEEE Antennas and Propagation Magazine.
[14] W. Tabbara,et al. Electromagnetic Fields Estimation Using Spatial Statistics , 2006 .
[15] Chin-Teng Lin,et al. Direction of arrival estimation based on phase differences using neural fuzzy network , 2000 .
[16] Paolo Gamba,et al. Electromagnetic detection of dielectric cylinders by a neural network approach , 1999, IEEE Trans. Geosci. Remote. Sens..
[17] F. Las-Heras,et al. Support vector regression for the design of array antennas , 2005, IEEE Antennas and Wireless Propagation Letters.
[18] Youngwook Kim,et al. Human Detection and Activity Classification Based on Micro-Doppler Signatures Using Deep Convolutional Neural Networks , 2016, IEEE Geoscience and Remote Sensing Letters.
[19] R. S. Chen,et al. A combination of FDTD and least-squares support vector machines for analysis of microwave integrated circuits , 2005 .
[20] Federico Viani,et al. System-by-design: A new paradigm for handling design complexity , 2014, The 8th European Conference on Antennas and Propagation (EuCAP 2014).
[21] Yuehang Xu,et al. PERMEABILITY MEASUREMENT OF FERROMAGNETIC MATERIALS IN MICROWAVE FREQUENCY RANGE USING SUPPORT VECTOR MACHINE REGRESSION , 2007 .
[22] Andrea Boni,et al. A classification approach based on SVM for electromagnetic subsurface sensing , 2005, IEEE Transactions on Geoscience and Remote Sensing.
[23] Xin Li,et al. Regression Kriging-Based Upscaling of Soil Moisture Measurements From a Wireless Sensor Network and Multiresource Remote Sensing Information Over Heterogeneous Cropland , 2015, IEEE Geoscience and Remote Sensing Letters.
[24] Alexander J. Smola,et al. Learning with kernels , 1998 .
[25] Hendrik Rogier,et al. Surrogate-based infill optimization applied to electromagnetic problems , 2010 .
[26] C.G. Christodoulou,et al. Beamforming using support vector machines , 2005, IEEE Antennas and Wireless Propagation Letters.
[27] Mauro Brunato,et al. Reactive Search and Intelligent Optimization , 2008 .
[28] P. Rocca,et al. Electromagnetic tracking of transceiver-free targets in wireless networked environments , 2011, Proceedings of the 5th European Conference on Antennas and Propagation (EUCAP).
[29] Tah-Hsiung Chu,et al. Analysis of wire scatterers with nonlinear or time-harmonic loads in the frequency domain , 1993 .
[30] Anil K. Jain,et al. Artificial Neural Networks: A Tutorial , 1996, Computer.
[31] Davide Anguita,et al. A Comparative Study of NN and SVM-Based Electromagnetic Inverse Scattering Approaches to On-Line Detection of Buried Objects , 2003 .
[32] John W. Bandler,et al. Rapid Yield Estimation and Optimization of Microwave Structures Exploiting Feature-Based Statistical Analysis , 2015, IEEE Transactions on Microwave Theory and Techniques.
[33] Filiz Güneş,et al. Signal‐noise support vector model of a microwave transistor , 2007 .
[34] S. Costanzo,et al. SUPPORT VECTOR REGRESSION MACHINES TO EVALUATE RESONANT FREQUENCIES OF ELLIPTIC SUBSTRATE INTEGRATED WAVEGUIDE RESONATORS , 2008 .
[35] Guy A. E. Vandenbosch,et al. An Efficient Method for Antenna Design Optimization Based on Evolutionary Computation and Machine Learning Techniques , 2014, IEEE Transactions on Antennas and Propagation.
[36] Xing Chen,et al. Application of support vector machines to the antenna design , 2011 .
[37] Paolo Rocca,et al. Efficient synthesis of complex antenna devices through System-by-Design , 2014, 2014 IEEE Symposium on Computational Intelligence for Communication Systems and Networks (CIComms).
[38] Michael Georgiopoulos,et al. A neural network-based smart antenna for multiple source tracking , 2000 .
[39] Daniel M. Tartakovsky,et al. Subsurface characterization with support vector machines , 2006, IEEE Transactions on Geoscience and Remote Sensing.
[40] S. Koziel,et al. Two-Stage Framework for Efficient Gaussian Process Modeling of Antenna Input Characteristics , 2014, IEEE Transactions on Antennas and Propagation.
[41] P. Rocca,et al. Evolutionary optimization as applied to inverse scattering problems , 2009 .
[42] Manuel Davy,et al. An abrupt change detection algorithm for buried landmines localization , 2006, IEEE Transactions on Geoscience and Remote Sensing.
[43] Emmanuel Nicolas,et al. Computation of the field radiated by a FM transmitter by means of ordinary kriging , 2011, Ann. des Télécommunications.
[44] Alejandro Álvarez Melcón,et al. Fast and Efficient Calculation of the Multilayered Shielded Green's Functions Employing Neural Networks , 2005 .
[45] Michael Georgiopoulos,et al. Performance of radial-basis function networks for direction of arrival estimation with antenna arrays , 1997 .
[46] G. Camps-Valls,et al. A Support Vector Machine MUSIC Algorithm , 2012, IEEE Transactions on Antennas and Propagation.
[47] P. Rocca,et al. An Innovative Multiresolution Approach for DOA Estimation Based on a Support Vector Classification , 2009, IEEE Transactions on Antennas and Propagation.
[48] S. Hyakin,et al. Neural Networks: A Comprehensive Foundation , 1994 .
[49] Jing He,et al. Design of Environmental Sensor Networks Using Evolutionary Algorithms , 2016, IEEE Geoscience and Remote Sensing Letters.
[50] Tom Dhaene,et al. Accurate Hotspot Localization by Sampling the Near-Field Pattern of Electronic Devices , 2013, IEEE Transactions on Electromagnetic Compatibility.
[51] Li Zhang,et al. Nonlinear optimization for adaptive antenna array receivers with a small data-record size , 2009, Wirel. Commun. Mob. Comput..
[52] D. Ruppert. The Elements of Statistical Learning: Data Mining, Inference, and Prediction , 2004 .
[53] Mustafa Secmen,et al. Hierarchical Reconstruction and Structural Waveform Analysis for Target Classification , 2016, IEEE Transactions on Antennas and Propagation.
[54] Yide Wang,et al. Time Delay and Permittivity Estimation by Ground-Penetrating Radar With Support Vector Regression , 2014, IEEE Geoscience and Remote Sensing Letters.
[55] P. Rocca,et al. Differential Evolution as Applied to Electromagnetics , 2011, IEEE Antennas and Propagation Magazine.
[56] Qi-Jun Zhang,et al. Neural Network Inverse Modeling and Applications to Microwave Filter Design , 2008, IEEE Transactions on Microwave Theory and Techniques.
[57] G. Camps‐Valls,et al. Kernel Antenna Array Processing , 2007, IEEE Transactions on Antennas and Propagation.
[58] R. Xu,et al. LTCC INTERCONNECT MODELING BY SUPPORT VECTOR REGRESSION , 2007 .
[59] R. S. Chen,et al. Combination of particle‐swarm optimization with least‐squares support vector machine for FDTD time series forecasting , 2006 .
[60] Hwanjo Yu,et al. SVM Tutorial - Classification, Regression and Ranking , 2012, Handbook of Natural Computing.
[61] Yiqiang Yu,et al. A Time-Domain Collocation Meshless Method With Local Radial Basis Functions for Electromagnetic Transient Analysis , 2014, IEEE Transactions on Antennas and Propagation.
[62] Eric L. Miller,et al. Statistical Classification of Buried Unexploded Ordnance Using Nonparametric Prior Models , 2007, IEEE Transactions on Geoscience and Remote Sensing.
[63] F. Las-Heras,et al. Multiple Support Vector Regression for Antenna Array Characterization and Synthesis , 2007, IEEE Transactions on Antennas and Propagation.
[64] T. Dhaene,et al. Variable-Fidelity Electromagnetic Simulations and Co-Kriging for Accurate Modeling of Antennas , 2013, IEEE Transactions on Antennas and Propagation.
[65] Youngwook Kim,et al. Human Detection Using Doppler Radar Based on Physical Characteristics of Targets , 2015, IEEE Geoscience and Remote Sensing Letters.
[66] Sushanta K. Mandal,et al. ANN- and PSO-Based Synthesis of On-Chip Spiral Inductors for RF ICs , 2008, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.
[67] Vladimir N. Vapnik,et al. The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.
[68] Abdesselam Bouzerdoum,et al. Automatic Classification of Ground-Penetrating-Radar Signals for Railway-Ballast Assessment , 2011, IEEE Transactions on Geoscience and Remote Sensing.
[69] Andrea Boni,et al. A SVM-based approach to microwave breast cancer detection , 2006, Eng. Appl. Artif. Intell..
[70] Emilio Arnieri,et al. Support Vector Regression Machines to Evaluate Resonant Frequency of Elliptic Substrate Integrate Waveguide Resonators , 2008 .
[71] Tom Dhaene,et al. Cost-efficient electromagnetic-simulation-driven antenna design using co-Kriging , 2012 .
[72] Vladimir Vapnik,et al. Statistical learning theory , 1998 .
[73] J.L.G. Tornero,et al. A neural-network method for the analysis of multilayered shielded microwave circuits , 2006, IEEE Transactions on Microwave Theory and Techniques.
[74] Slawomir Koziel,et al. Multi-Objective Design of Antennas Using Variable-Fidelity Simulations and Surrogate Models , 2013, IEEE Transactions on Antennas and Propagation.
[75] Antonios Giannopoulos,et al. Model-Based Evaluation of Signal-to-Clutter Ratio for Landmine Detection Using Ground-Penetrating Radar , 2016, IEEE Transactions on Geoscience and Remote Sensing.
[76] S. Koziel,et al. Simulation-Based Design of Microstrip Linear Antenna Arrays Using Fast Radiation Response Surrogates , 2015, IEEE Antennas and Wireless Propagation Letters.
[77] Youssef Tawk,et al. Reconfigurable Antennas: Design and Applications , 2015, Proceedings of the IEEE.
[78] S. Bilicz,et al. Solution of Inverse Problems in Nondestructive Testing by a Kriging-Based Surrogate Model , 2012, IEEE Transactions on Magnetics.
[79] Paolo Rocca,et al. Compressive Sensing in Electromagnetics - A Review , 2015, IEEE Antennas and Propagation Magazine.
[80] C. Reboud,et al. A learning-by-examples approach for non-destructive localization and characterization of defects through eddy current measurements , 2015, 2015 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting.
[81] Luigi Ferrigno,et al. Crack Shape Reconstruction in Eddy Current Testing Using Machine Learning Systems for Regression , 2008, IEEE Transactions on Instrumentation and Measurement.
[82] Carl E. Rasmussen,et al. Gaussian processes for machine learning , 2005, Adaptive computation and machine learning.
[83] Amit Agarwal,et al. A new machine learning paradigm for terrain reconstruction , 2006, IEEE Geoscience and Remote Sensing Letters.
[84] Mario Bertero,et al. Introduction to Inverse Problems in Imaging , 1998 .
[85] Luis S. Rosado,et al. Defect Characterization With Eddy Current Testing Using Nonlinear-Regression Feature Extraction and Artificial Neural Networks , 2013, IEEE Transactions on Instrumentation and Measurement.
[86] Cheng Liao,et al. HYBRID-SURROGATE-MODEL-BASED EFFICIENT GLOBAL OPTIMIZATION FOR HIGH-DIMENSIONAL ANTENNA DESIGN , 2012 .
[87] R. O. Schmidt,et al. Multiple emitter location and signal Parameter estimation , 1986 .
[88] Slawomir Koziel,et al. Antenna Design by Simulation-Driven Optimization , 2014 .
[89] Slawomir Koziel,et al. Feature-based surrogates for low-cost microwave modelling and optimisation , 2015 .
[90] M. McKee,et al. SOIL MOISTURE PREDICTION USING SUPPORT VECTOR MACHINES 1 , 2006 .
[91] D. Lesselier,et al. Adaptive Metamodels for Crack Characterization in Eddy-Current Testing , 2011, IEEE Transactions on Magnetics.
[92] P. Rocca,et al. Passive imaging strategies for real-time wireless localization of non-cooperative targets in security applications , 2015, 2015 9th European Conference on Antennas and Propagation (EuCAP).
[93] Slawomir Koziel,et al. Rapid optimisation of omnidirectional antennas using adaptively adjusted design specifications and kriging surrogates , 2013 .
[94] Andrea Massa,et al. A Multi-Source Strategy based on a Learning-by-Examples Technique for Buried Object Detection , 2004 .
[95] David J. Spiegelhalter,et al. Machine Learning, Neural and Statistical Classification , 2009 .
[96] P. Saratchandran,et al. Direction of Arrival (DoA) Estimation Under Array Sensor Failures Using a Minimal Resource Allocation Neural Network , 2007, IEEE Transactions on Antennas and Propagation.
[97] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[98] Philippe Richaume,et al. Soil Moisture Retrieval Using Neural Networks: Application to SMOS , 2015, IEEE Transactions on Geoscience and Remote Sensing.
[99] Gustavo Avolio,et al. Hybrid Nonlinear Modeling Using Adaptive Sampling , 2015, IEEE Transactions on Microwave Theory and Techniques.
[100] Tomoo Ushio,et al. A Neural-Network-Based Beamformer for Phased Array Weather Radar , 2016, IEEE Transactions on Geoscience and Remote Sensing.
[101] Shang-Liang Chen,et al. Orthogonal least squares learning algorithm for radial basis function networks , 1991, IEEE Trans. Neural Networks.
[102] Jae-Young Chung,et al. Characterisation of antenna substrate properties using surrogate-based optimisation , 2015 .
[103] S. Barro,et al. Element failure detection in linear antenna arrays using case-based reasoning , 2008, IEEE Antennas and Propagation Magazine.
[104] Christos G. Christodoulou,et al. Neural network-based adaptive beamforming for one- and two-dimensional antenna arrays , 1998 .
[105] Leonardo Lizzi,et al. Object tracking through RSSI measurements in wireless sensor networks , 2008 .
[106] Emmanuel Vazquez,et al. Characterization of a 3D defect using the expected improvement algorithm , 2008 .
[107] Tom Dhaene,et al. Data-driven model based design and analysis of antenna structures , 2016 .
[108] Slawomir Koziel,et al. Simulation-Driven Design of Microstrip Antenna Subarrays , 2014, IEEE Transactions on Antennas and Propagation.
[109] Andrea Massa,et al. KERNELS EVALUATION OF SVM-BASED ESTIMATORS FOR INVERSE SCATTERING PROBLEMS , 2005 .
[110] Christophe Reboud,et al. Real-Time NDT-NDE Through an Innovative Adaptive Partial Least Squares SVR Inversion Approach , 2016, IEEE Transactions on Geoscience and Remote Sensing.
[111] Andrea Massa,et al. An adaptive Learning-by-Examples strategy for efficient Eddy Current Testing of conductive structures , 2016, 2016 10th European Conference on Antennas and Propagation (EuCAP).
[112] Andrea Boni,et al. An innovative real-time technique for buried object detection , 2003, IEEE Trans. Geosci. Remote. Sens..
[113] Federico Viani,et al. Electromagnetic passive localization and tracking of moving targets in a WSN-infrastructured environment , 2010 .
[114] Christos Christodoulou,et al. Support Vector Machines for Antenna Array Processing and Electromagnetics , 2006, Support Vector Machines for Antenna Array Processing and Electromagnetics.
[115] Paolo Rocca,et al. Enabling the optimization-based design of complex EM devices through the System-by-Design approach , 2016, 2016 10th European Conference on Antennas and Propagation (EuCAP).
[116] Paolo Rocca,et al. Surrogate-Assisted Optimization of Metamaterial Devices for Advanced Antenna Systems , 2015, 2015 IEEE Symposium Series on Computational Intelligence.
[117] Leonardo Lizzi,et al. Estimation of the Directions-of-Arrival of correlated signals by means of a SVM-based multi-resolution approach , 2010, 2010 IEEE Antennas and Propagation Society International Symposium.
[118] T. Dhaene,et al. Automated Near-Field Scanning Algorithm for the EMC Analysis of Electronic Devices , 2012, IEEE Transactions on Electromagnetic Compatibility.
[119] M. Pastorino,et al. A smart antenna system for direction of arrival estimation based on a support vector regression , 2005, IEEE Transactions on Antennas and Propagation.
[120] Andy J. Keane,et al. Engineering Design via Surrogate Modelling - A Practical Guide , 2008 .
[121] Tom Dhaene,et al. Efficient Multi-Objective Simulation-Driven Antenna Design Using Co-Kriging , 2014, IEEE Transactions on Antennas and Propagation.
[122] Slawomir Koziel,et al. Expedited Geometry Scaling of Compact Microwave Passives by Means of Inverse Surrogate Modeling , 2015, IEEE Transactions on Microwave Theory and Techniques.
[123] David Baudry,et al. Postprocessing of Near-Field Measurement Based on Neural Networks , 2011, IEEE Transactions on Instrumentation and Measurement.
[124] Andrea Massa,et al. On the training patterns of a neural network for target localization in the spatial domain , 2001 .
[125] Mohamed S. El-Mahallawy,et al. Material Classification of Underground Utilities From GPR Images Using DCT-Based SVM Approach , 2013, IEEE Geoscience and Remote Sensing Letters.
[126] T. H. O'Donnell,et al. Direction finding in phased arrays with a neural network beamformer , 1995 .