Ebook: Adaptive Resonance Theory Microchips: Circuit Design Techniques

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.

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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.

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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.
Content:
Front Matter....Pages i-xxiii
Adaptive Resonance Theory Algorithms....Pages 1-38
A VLSI-Friendly ART1 Algorithm....Pages 39-51
ART1 and ARTMAP VLSI Circuit Implementation....Pages 53-88
A High-Precision Current-Mode WTA-MAX Circuit with Multi-Chip Capability....Pages 89-115
An ART1/ARTMAP/Fuzzy-ART/Fuzzy-ARTMAP Chip....Pages 117-143
Analog Learning Fuzzy ART Chips....Pages 145-166
Some Potential Applications For ART Microchips....Pages 167-176
Back Matter....Pages 177-234

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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.
Content:
Front Matter....Pages i-xxiii
Adaptive Resonance Theory Algorithms....Pages 1-38
A VLSI-Friendly ART1 Algorithm....Pages 39-51
ART1 and ARTMAP VLSI Circuit Implementation....Pages 53-88
A High-Precision Current-Mode WTA-MAX Circuit with Multi-Chip Capability....Pages 89-115
An ART1/ARTMAP/Fuzzy-ART/Fuzzy-ARTMAP Chip....Pages 117-143
Analog Learning Fuzzy ART Chips....Pages 145-166
Some Potential Applications For ART Microchips....Pages 167-176
Back Matter....Pages 177-234
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