Neural Nets WIRN VIETRI-96

Inhaltsverzeichnis

• 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.