Adaptive Resonance Theory Microchips Circuit Design Techniques / by Teresa Serrano-Gotarredona, Bernabé Linares-Barranco, Andreas G. Andreou.

Adaptive Resonance Theory Microchips describes circuit strategies resulting in efficient and functional adaptive resonance theory (ART) hardware systems. While ART algorithms have been developed in software by their creators, this is the first book that addresses efficient VLSI design of ART systems...

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Bibliographic Details
Main Authors: Serrano-Gotarredona, Teresa (Author), Linares-Barranco, Bernabé (Author), Andreou, Andreas G. (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: New York, NY : Springer US : Imprint: Springer, 1998.
Edition:1st ed. 1998.
Series:The Springer International Series in Engineering and Computer Science, 456
Springer eBook Collection.
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Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Description
Summary:Adaptive Resonance Theory Microchips describes circuit strategies resulting in efficient and functional adaptive resonance theory (ART) hardware systems. While ART algorithms have been developed in software by their creators, this is the first book that addresses efficient VLSI design of ART systems. All systems described in the book have been designed and fabricated (or are nearing completion) as VLSI microchips in anticipation of the impending proliferation of ART applications to autonomous intelligent systems. To accommodate these systems, the book not only provides circuit design techniques, but also validates them through experimental measurements. The book also includes a chapter tutorially describing four ART architectures (ART1, ARTMAP, Fuzzy-ART and Fuzzy-ARTMAP) while providing easily understandable MATLAB code examples to implement these four algorithms in software. In addition, an entire chapter is devoted to other potential applications for real-time data clustering and category learning.
Physical Description:XXIII, 234 p. online resource.
ISBN:9781441987105
ISSN:0893-3405 ;
DOI:10.1007/978-1-4419-8710-5