Synopsis
Cellular Nonlinear/Neural Network (CNN) technology is both a revolutionary concept and an experimentally proven new computing paradigm. Analogic cellular computers based on CNNs are set to change the way analog signals are processed. This unique undergraduate level textbook includes many examples and exercises, including CNN simulator and development software accessible via the Internet. It is an ideal introduction to CNNs and analogic cellular computing for students, researchers and engineers from a wide range of disciplines. Leon Chua, co-inventor of the CNN, and Tamàs Roska are both highly respected pioneers in the field.
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Book Description
This unique undergraduate level textbook is an ideal introduction to CNNs and analogic cellular computing for students, researchers and engineers from a wide range of disciplines. The book contains many examples and exercises, including CNN simulator software available via the Internet. Although its focus is on visual computing, the concepts described in the book will be of great interest to those working in other areas of CNN research. Leon Chua, co-inventor of the CNN, and Tamàs Roska are highly respected pioneers in the field.
Review
"...rarely has a treatment of a new technology been so thoroughly researched and presented within the confines of a single book...an outstanding example of what a team of dedicated authors and a committed publisher can do towards exposing their potential readers to new technologies and development of new industries." Current Engineering Practice
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Cellular neural networks and visual Computing
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Hardcover. Condition: neu. Brand new, 396 pp, Content: Cellular Nonlinear/Neural Network (CNN) technology is both a revolutionary concept and an experimentally proven new computing paradigm. Analogic cellular computers based on CNNs are set to change the way analog signals are processed and are paving the way to an entire new analog computing industry. This unique undergraduate-level textbook includes many examples and exercises. Size: 25,5 Cm. Seller Inventory # 000022
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Cellular Neural Networks and Visual Computing: Foundations and Applications
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Condition: New. A unique undergraduate level textbook on Cellular Nonlinear/neural Networks (CNN) technology and analogic computing. Num Pages: 410 pages, 50 tables 36 exercises. BIC Classification: UYQN. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 247 x 174 x 24. Weight in Grams: 1010. . 2002. 1st Edition. hardcover. . . . . Seller Inventory # V9780521652476
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Hardcover. Condition: new. Hardcover. Cellular Nonlinear/neural Network (CNN) technology is both a revolutionary concept and an experimentally proven new computing paradigm. Analogic cellular computers based on CNNs are set to change the way analog signals are processed and are paving the way to an entire new analog computing industry. This unique undergraduate level textbook includes many examples and exercises, including CNN simulator and development software accessible via the Internet. It is an ideal introduction to CNNs and analogic cellular computing for students, researchers and engineers from a wide range of disciplines. Although its prime focus is on visual computing, the concepts and techniques described in the book will be of great interest to those working in other areas of research including modeling of biological, chemical and physical processes. Leon Chua, co-inventor of the CNN, and Tamas Roska are both highly respected pioneers in the field. This book is an introduction to CNNs and analogic cellular computing for students, researchers and engineers from a wide range of backgrounds. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9780521652476
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