This volume contains selected papers from WIRN VIETRI-97, the 9th Italian Workshop on Neural Nets, held Vietri sul Mare, Salerno, Italy, from 22-24 May 1997. The papers cover a variety of topics related to neural networks, including pattern recognition, signal processing, theoretical models, applications in science and industry, virtual reality, fuzzy systems, and software algorithms. = By providing the reader with a comprehensive overview of recent research work in this area, the volume makes an invaluab le ...
This volume contains selected papers from WIRN VIETRI-97, the 9th Italian Workshop on Neural Nets, held Vietri sul Mare, Salerno, Italy, from 22-24 May 1997. The papers cover a variety of topics related to neural networks, including pattern recognition, signal processing, theoretical models, applications in science and industry, virtual reality, fuzzy systems, and software algorithms. = By providing the reader with a comprehensive overview of recent research work in this area, the volume makes an invaluab le contribution to the Perspectives in Neural Computing Series. Neural Nets - WIRN VIETRI-97 will provide invaluable reading material for anyone who needs to keep up to date with the latest developments in neural networks and related areas. It will be of particular interest to academic and industrial researchers, and postgraduate and graduate students.
Edition description: Softcover reprint of the original 1st ed. 1998
Edition number: 1
Product dimensions: 6.14 (w) x 9.21 (h) x 0.73 (d)
Table of Contents
Section 1 - Invited Paper.- Latent Variables, Topographic Mappings and Data Visualization.- Section 2 - Review Papers.- Fuzzy Neural Networks for Pattern Recognition.- A Unifying View of Gradient Calculations and Learning for Locally Recurrent Neural Networks.- Section 3 - Eduardo R. Caianiello Lecture.- Employment of a Progressive Learning Neural Network for Identification and Control.- Section 4 - Mathematical Models.- What Size Needs Testing?.- Entropy Based Comparison of Neural Networks for Classification.- A Hebbian Model for Space Representation.- Sequences of Discrete Hopfield’s Networks for the Maximum Clique Problem.- Rates of Approximation of Multivariable Functions by One-Hidden-Layer Neural Networks.- Energy Functional and Fixed Points of a Neural Network.- A Distribution-Free VC-Dimension-Based Performance Bound.- Attractor Neural Networks as Models of Semantic Memory.- Section 5 - Pattern Recognition and Robotics.- Image Reconstruction Using a Hierarchical RBF Network Architecture.- Word Recognition by MLP-Based Character Spotting and Dynamic Programming.- Video Data Compression Using Multilayer Perceptrons.- Speeding Up Neural Network Execution: An Application to Speech Recognition.- Periodicity Analysis of Unevenly Spaced Data by Means of Neural Networks.- Computational Maps for Articulatory Speech Synthesis.- A Neural Solution for a Mobile Robot Navigation into Unknown Indoor Environments Using Visual Landmarks.- Section 6 - Applications.- An Application of the Bootstrap 632+ Rule to Ecological Data.- Are Hybrid Fuzzy-Neural Systems Actually Useful in Plasma Engineering?.- MAIA Neural Network: An Application to the Railway Anti-Skating System.- On the Cognitive Behaviour of a Multi-Layer Perceptron in Forecasting Meteorological Visibility.- Classifying Magnetic Resonance Spectra of Brain Neoplasms Using Fuzzy and Robust Gold Standard Adjustments.- Self-Organization with a Large Medical Databases Using GTM for Prediction and Clustering.- Icarus Platform: Software Integration of Several Intelligent Systems.- Section 7 - Architectures and Algorithms.- Plastic Tabu Search for Training Multilayer Perceptrons.- Training Analog VLSI Multi Layer Perceptron Networks with Continuous Time Back Propagation.- EM Algorithm: A Neural Network View.- HW/SW Co-Design of a Complete Pre-Processing/Recognition System Based on Sgs-Thomson OCR Analog Chip.- Interval Arithmetic Perceptron with Pruning Capability.- Hidden Recursive Models.- Geometrical Constructive Algorithms of Binary Neural Networks.- On the Adaptable Boolean Neural Net Paradigm.- Cluster Connections: A Visualization Technique to Reveal Cluster Boundaries in Self-Organizing Maps.- Discriminative Least Squares Learning for Fast Adaptive Neural Equalization.- Author Index.