Neural Nets WIRN VIETRI-96

Section 1 - Invited Paper.- A Class of Cost Functions for Independence.- Section 2 - Review Papers.- Virtual Reality and Neural Networks.- Recent Results in On-Line Prediction and Boosting.- Section 3 - Eduardo R. Caianiello Lectures.- Input/Output HMMs: A Recurrent Bayesian Network View.- Neural Nonlinear Controllers and Observers:Stability Results.- Section 4 - Mathematical Models.- Neural Network Fuzzification: A Critical Review of the Fuzzy Learning Vector Quantization Model.- Cultural Evolution in a Population of Neural Networks.- A New Incremental Learning Technique.- Solving Algebraic and Geometrical Problems Using Neural Networks.- A Bayesian Framework for Associative Memories.- Proof of the Universal Approximation of a Set of Fuzzy Functions.- The Computational Neural Map and its Capacity.- Classification of Structures by Recurrent Neural Networks.- Section 5 - Pattern Recognition and Robotics.- Neuro-Fuzzy Processing of Remote Sensed Data.- The Use of Neural Networks for the Automatic Detection and Classification of Weak Photometric Sub-Components in Early-Type Galaxies.- A Generalized Regularization Network for Remote Sensing Data Classification.- A Hybrid Neural Network Architecture for Dynamic Scene Understanding.- Proposal of a Darwin-Neural Network for a Robot Implementation.- A Novel Hypothesis on Cortical Map: Topological Continuity.- A Mlp-Based Digit and Uppercase Characters Recognition System.- Are Multilayer Perceptrons Adequate for Pattern Recognition and Verification?.- Computational Intelligence in Electromagnetics.- M.A.I.A. Unsupervisioned Neural Network in the Compression and Decompression of Images.- Fast Spline Neural Networks for Image Compression.- Age Estimates of Stellar Systems by Artificial Neural Networks.- Section 6 - Applications.-Neural Nets for Hybrid On-Line Plant Control.- Using Fuzzy Logic to Solve Optimization Problems by Hopfield Neural Model.- FIR NNs and Time Series Prediction: Applications to Stock Market Forecasting.- Simulation of Traffic Flows in Transportation Nets with Unsupervisioned MAIA Neural Net.- Towards Fog Forecasting in Meteorology by Means of Back-Propagation Neural Networks with Weighted Least-Squares Training.- Spectral Mapping: A Comparison of Connectionist Approaches.- Section 7 - Architectures and Algorithms.- A Reconfigurable Analog VLSI Neural Network Architecture with Non Linear Synapses.- Off-Chip Training of Analog Hardware Feed-Forward Neural Networks through Hyper - Floating Resilient Propagation.- A Learning Strategy which Increases Partial Fault Tolerance of Neural Nets.- An Integrated Neural and Algorithmic System for Optical Flow Computation.- FIR NNs and Temporal BP: Implementation on the Meiko CS-2.- Some Comments and Experimental Results on Bayesian Regularization.- Constructive Fuzzy Neural Networks.- An Adaptable Boolean Neural Net Trainable to Comment on its Own Innerworkings.- Fast Training of Recurrent Neural Networks by the Recursive Least Squares Method.- Author Index.