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 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 TamAis Roska are both highly respected pioneers in the field.Suykens, J.A. and J. Vandewalle (1996), Discrete time interconnected Cellular Neural Networks within NLq theory, International Journal of Circuit Theory and Applications, 24(1), 25a36. Szir Ianyi, S. (1996), Robustness of Cellular Neuralanbsp;...
|Title||:||Cellular Neural Networks and Visual Computing|
|Author||:||Leon O. Chua, Tamas Roska|
|Publisher||:||Cambridge University Press - 2002-05-23|