Name: Adaptive Resonance Theory Microchips: Circuit Design Techniques (en Inglés)
Price: 160090.00 CLP
Availability: InStock
Author: Serrano-Gotarredona, Teresa ; Linares-Barranco, Bernabé ; Andreou, Andreas G.
ISBN: 9781461346722

portada Adaptive Resonance Theory Microchips: Circuit Design Techniques (en Inglés)

Adaptive Resonance Theory Microchips: Circuit Design Techniques (en Inglés)

Formato

Libro Físico

Autor

Teresa Serrano-Gotarredona

Bernabé Linares-Barranco

Andreas G. Andreou

Editorial

Springer

Idioma

Inglés

N° páginas

234

Encuadernación

Tapa Blanda

Dimensiones

23.4 x 15.6 x 1.4 cm

Peso

0.37 kg.

ISBN13

9781461346722

Categorías

Lógica matemática
Ingeniería eléctrica
Arquitectura y diseño lógico de ordenadores

Adaptive Resonance Theory Microchips: Circuit Design Techniques (en Inglés)

Teresa Serrano-Gotarredona (Autor) · Bernabé Linares-Barranco (Autor) · Andreas G. Andreou (Autor) · Springer · Tapa Blanda

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Reseña del libro "Adaptive Resonance Theory Microchips: Circuit Design Techniques (en Inglés)"

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.