Overview

This volume contains the proceedings of the seventh Italian Workshop on Neural Nets WIRN VIETRI '95, organized by the International Institute for Advanced Scientific Studies 'E R Caianiello' (IIASS) and Società Italiana Reti Neuroniche (SIREN).The spectrum of contributors and participants covers the activity of Italian research in the field. The papers of the two invited speakers, M J Jordan ('Sigmoid Belief Networks') and E Oja ('Principal and Independent Component Analysis'), and the two reviews ('Fast Learning Algorithms for Feedforward NN' and 'ANN Ensembles: a Bayesian Standpoint') complete the highly qualified contents of the volume.

Full Product Details

Author:   Maria Marinaro (Univ Salerno, Italy) ,  R Tagliaferri (Univ Salerno, Italy)
Publisher:   World Scientific Publishing Co Pte Ltd
Imprint:   World Scientific Publishing Co Pte Ltd
ISBN:  

9789810226039

ISBN 10:   9810226039
Pages:   332
Publication Date:   01 January 1996
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

Part 1 Invited: mean field theory for sigmoid belief networks, L.K. Saul et al; principal and independent components in neural networks - recent developments, E. Oja et al. Part 2 Reviews: artificial neural network ensembles - a Bayesian standpoint, M. Costa et al; fast learning algorithms for feedforward neural networks, P. Parisi et al. Part 3 Mathematical models: nonlinear finite-memory state estimation - a neural approximation, A. Alessandri et al; analog computations on networks of spiking neurons, W. Maass; can learning process in neural networks be considered as a phase transition?, E. Pessa and M. Pietronilla Penna. Part 4 Architecture and algorithms: using neural networks to reduce schedules in time-critical communication systems, S. Cavalieri and O. Mirabella; hardware implementation of neural systems for visual target tracking, A.M. Colla et al; multiple topology representing networks, V. Sanguineti et al. Part 5 Pattern recognition and signal processing: a fast and robust BCS application to the stereo vision, E. Ardizzone et al; atmospheric pressure wave forecasting through fuzzy systems, F. Masulli et al; neural fuzzy image segmentation by a hierarchical approach, A. Petrosino and M. Marsella. Part 6 Applications: neural-based forecasting of physical measures in a power plant, S. Bruzzo et al; fuzzy neural network for the on-line detection of B.O.D., G. Mappa et al; and other papers.

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