ENGLISH

Innovations in ART Neural Networks

By L. C. Jain (auth.) , Professor Lakhmi C. Jain , A. Filippidis , M. Russo , Professor Beatrice Lazzerini , Professor Ugur Halici (eds.)

Book information

Publisher
Physica-Verlag Heidelberg
Year
2000
ISBN
978-3-7908-2469-8, 978-3-7908-1857-4
DOI
10.1007/978-3-7908-1857-4
Language
english
Format
PDF
Filesize
11 MB (11248701 bytes)
Series
Studies in Fuzziness and Soft Computing 43
Edition
1
Pages
258\266
Orientation
yes
Scanned
yes
Time added
2013-08-01 04:00:00
Artificial Intelligence (incl. Robotics);Complexit

Description

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.

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