Innovations in ART Neural Networks

by Beatrice Lazzerini (Editor), Ugur Halici (Editor)

Overview

In the last two decades the artificial neural networks have been refined and widely used by the researchers and application engineers. We have not witnessed such a large degree of evolution in any other artificial neural network as in the Adaptive Resonance Theory (ART) neural network. The ART network remains plastic, or adaptive, in response to significant events and yet remains stable in response to irrelevant events. This stability-plasticity property is a great step towards realizing intelligent machines capable of autonomous learning in real time environment.

The main aim of this book is to report a very small sample of the research on the evolution of ART neural network and its applications. Interested readers may refer literature for many more innovations in ART such as Fuzzy ART, ART2, ART2-a, ARTMAP, ARTMAP-PI, ARTMAP-DS, Gaussian ARTMAP, EXACT ART, and ART-EMAP.

Product Details

ISBN-13:	9783790812701
Publisher:	Physica-Verlag HD
Publication date:	04/13/2000
Series:	Studies in Fuzziness and Soft Computing , #43
Edition description:	2000
Pages:	258
Product dimensions:	6.10(w) x 9.25(h) x 0.03(d)

Table of Contents

1 Novel Extension of ART2 in Surface Landmine Detection.- 2 An Efficient Mapping of Fuzzy ART onto a Neural Architecture.- 3 Fuzzy ARTMAP Modifications for Intersecting Class Distributions.- 4 Supervised Adaptive Resonance Theory and Rules.- 5 Incremental Learning and Optimization of Hierarchical Clusterings with ART-Based Modular Networks.- 6 ART-Based Autonomous Learning Systems: Part I — Architectures and Algorithms.- 7 ART-Based Autonomous Learning Systems: Part II — Applications.- 8 Adaptive Resonance Theory Microchips.