Proceedings of the 9th Italian Workshop on Neural Nets, Vietri sul Mare, Salerno, Italy, 22-24 May 1997
First Statement of Responsibility
edited by Maria Marinaro, Roberto Tagliaferri.
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
London
Name of Publisher, Distributor, etc.
Springer London
Date of Publication, Distribution, etc.
1998
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
(IX, 338 pages)
SERIES
Series Title
Perspectives in neural computing.
CONTENTS NOTE
Text of Note
A Unifying View of Gradient Calculation and Learning for Locally Recurrent Neural Networks --;Are Hybrid Fuzzy-Neural Systems Actually Useful in Plasma Engineering?- The GTM as Predictor of Risk in Pregnancy --;An Application of the Bootstrap 632+ Rule to Ecological Data --;What Size Needs Testing?- Sequences of Discrete Hopfield Networks for the Maximum Clique Problem --;Entropy Based Comparison of Neural Networks for Classification --;Energy Functional and Fixed Points of a Neural Network --;Latent Variables --;Speeding up Neural Network Execution --;Word Recognition by MLP-Based Character Spotting and Dynamic Programming --;Periodicity Analysis of Unevenly Spaced Data by Means of Neural Networks.
SUMMARY OR ABSTRACT
Text of Note
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.