 |
GetTextbooks.com
Compare Prices & Save up to 90% |
|
|
|
| Login | Sign up | My Wish List |
 | | Adaptive Resonance Theory Microchips - Circuit Design Techniques (The Springer International Series in Engineering and Computer Science) by Teresa Serrano-Gotarredona, Bernabé Linares-Barranco, Andreas G. Andreou ISBN-10: 9780792382317 ISBN-10: 0-7923-8231-5 ISBN-13: 9780792382317 ISBN-13: 978-0-7923-8231-7 Hardcover 1998-08-31 Springer Find Lowest Price |
Editorials | ||
Product Description 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. | ||
Reviews | ||
ART Model down to Earth. Congratulations to the authors! It is a really good book on Adaptive Resonance Theory (ART) Neural Networks. It worth it each dollar you pay for and might be read by every student or professional interested in applications aimed to datamining with unsupervised ANN. Well written and very practical, this book presents all the knowledge the computing professional needs to bring the ART models down to Earth and enjoy a lot with examples of applications on MATLAB code. After almost 1.000 trials on ART1 and Fuzzy-ART codes presented by the authors, the euclidian space of the resulting domain and image parameters comparison which I came to was the same one presented in the book, proving the solid author's background and the code's value. In fact, a lot of MATLAB background is required to test the codes (unfortunatelly, the Fuzzy implementation performs two dimensions input vectors only). The book do not get a "5" degree, in my opinion, because it do not present ART2 algorithm. I have made some modifications on the original codes (ART1 and Fuzzy-ART) to run input vectors with unlimited dimensions, which proved its value when tested with a lot of data (in fact, I am using the codes for my IT Master thesis). | ||