| New Neural Network Models Neuro-fuzzy Kolmogorov's Network A Neural Network Model for Inter-problem Adaptive Online Time Allocation Discriminant Parallel Perceptrons A Way to Aggregate Multilayer Neural Networks Generalized Net Models of MLNN Learning Algorithms Monotonic Multi-layer Perceptron Networks as Universal Approximators Short Term Memories and Forcing the Re-use of Knowledge for GenerMization Interpolation Mechanism of Functional Networks Supervised Learning Algorithms Neural Network Topology Optimization Rough Sets-Based Recursive Learning Algorithm for Radial Basis Function Networks Support Vector Neural Training Evolutionary Algorithms for ReabTime Artificial Neural Network Training Developing Measurement Selection Strategy for Neural Network Models Nonlinear Regression with Piecewise Affine Models Based on RBFN Batch-Sequential Algorithm for Neural Networks Trained with Entropic Criteria Multiresponse Sparse Regression with Application to Multidimensional Scaling Training Neural Networks Using Taguchi Methods: Overcoming Interaction Problems A Global-Local Artificial Neural Network with Application to Wave Overtopping Prediction Ensemble-Based Learning Learning with Ensemble of Linear Perceptrons Combination Methods for Ensembles of RBFs Ensemble Techniques for Credibility Estimation of GAME Models …… Unsupervised Learning Recurrent neural Networks Reinforcement Learning Bayesian Approaches to Learning Learning Theory Artificial Neural Neworks for Syastem Modeling,Decision Making,Optimalizaation and Control Special Session:Knowledge Extraction from Neural Networks Temporal Data Analysis,Prediction and Forecasting Support Vector Machines and Kerner-Based Methods Soft Computing Methods for Data Representation,Analysis and Processing Special Session:Data Fusion for Industrial,Medical and Environmental Applications |
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