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. Language: English