London: Springer, 1999. — 390 p.
From its early beginnings in the fifties and sixties, the field of neural networks has been steadily developing to become one of the most interdisciplinary areas of research within computer science. This volume contains selected papers from WIRN Vietri-98, the 10th Italian Workshop on Neural Nets, 21-23 May 1998, Vietri sul Mare, Salerno, Italy. This annual event, sponsored amongst others by the IEEE Neural Network Council and the INNS/SIG Italy, brings together the best of research from all over the world. The papers cover a range of key topics within neural networks, including pattern recognition, signal processing, hybrid systems, mathematical models, hardware and software design, and fuzzy techniques. It also includes two review talks on a Morpho-Functional Model to Describe Variability Found atHippocampal Synapses and Neural Networks and SpeechProcessing. By providing the reader with a comprehensive overview of recent research in this area, the volume makes a valuable contribution to the Perspectives in NeuralComputing Series.
In Memory of Marco Protasi
Computational Suspiciousness of Learning in Artificial Neural Nets
Software Foundation Libraries for Intelligent Systems
Theoretical Approaches to On-line Learning in Smooth Multilayer Nets
Combining Neural Networks and Hidden Markov Models for Speech Recognition
Cellular Neural Networks: an Approach to Circuit Design and Information Processing
Correlation Collapse under Persistent Input Derangement in the Nervous System. Fitting pRAM Models for Thalamo-cortical Circuits
A New Incremental Strategy for Function Approximation by Radial Basis Function Neural Networks
Soft-competitive versus EM learning in cortical map modeling
Spatio-temporal cortical activity patterns in cognitive tasks using fMRI
Support Vector Machine for Nonparametric Binary Hypothesis Testing
Learning the Amplitude of Activation Functions in Layered Networks
The BRAIN Learning Algorithm
Training Data Selection for Optimal Generalization with Noise Variance Reduction in Neural Networks
Astronomical Object Recognition by means of Neural Networks
Learning to balance a pole on a movable cart through RL: what can be gained using Adaptive NN?
Mean-Field Neural Networks for Antenna Array Diagnostics
Initial Letter Spotting as a Complementary Feature for Lexical Filtering of Cursive Words
Visual Person Localization with Dynamic Neural Fields: Towards a Gesture Recognition System
Phoneme Classification using a Rasta-PLP preprocessing algorithm and a Time Delay Neural Network: Performance Studies
A Neural System for Remote Sensing Multispectral Image Classification
Invariance of WNNs Performance for Pattern Recognition Testing Translated Image Input Spaces
The CALMA project: Computer Assisted Library for MAmmography
Exploitation of Fuzzy Information for Tokamak Plasma Shape Recognition
New Results in Image Compression through M.A.I.A. Neural Networks
The Effect of Public Sector on the Financial Sector: An NN Approach in a View of Complexity
A Hybrid Framework for Indoor Robot Navigation
Training Feedforward Neural Networks: Convergence and Robustness Analysis
Solving the Travelling Salesman Problem using the Kohonen Network Incorporating Explicit Statistics
Boosting Learning Algorithms for the Colorimetric Characterization of Color Printers
Handwritten Character Recognition with an Analog Feature Extraction Module
A High Performances and High Versatility Reconfigurable System for Fast Prototyping of Digital Neural Network Based on FPGA
A L -based Energy Function for SE Prediction
Robust Processing of Visual Evoked Potentials
Convergence Properties of the Circular Cascade Correlation algorithm
Neural Learning and Weight Flow on Stiefel Manifold
From Behavior to VHDL: A CAD Environment for SPNNs
Incremental Min-Max Network. Part 2: Continuous and Discrete Spaces
An Adaptable Boolean Neural Net Obtained by Connecting Seven Node Asssemblies
A Comparative Evaluation of Sequential Constructive Methods
A Unified Approach to Sequential Constructive Methods
SOMLib: A Distributed Digital Library System based on Self-Organizing Maps
Incremental Min-Max Network. Part 1: Continuous Spaces
Tangent Models: Comparing the TD-Neuron Constructive Algorithm versus SVD Based Algorithms
A Neural Multi-Agent Architecture for an Autonomous Mobile Robot Control