Format:
Online-Ressource (1 online resource (412 p.))
,
digital, PDF file(s).
Edition:
Online-Ausg.
ISBN:
9780511754494
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 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 Tamás Roska are both highly respected pioneers in the field.
Note:
Title from publisher's bibliographic system (viewed on 05 Oct 2015)
Additional Edition:
ISBN 9780521652476
Additional Edition:
ISBN 9780521018630
Additional Edition:
Erscheint auch als Druck-Ausgabe Chua, Leon O., 1936 - Cellular neural networks and visual computing Cambridge [u.a.] : Cambridge Univ. Press, 2002 ISBN 0521652472
Additional Edition:
ISBN 0521018633
Additional Edition:
Erscheint auch als Druck-Ausgabe ISBN 9780521652476
Language:
English
Subjects:
Computer Science
Keywords:
Zellulares neuronales Netz
DOI:
10.1017/CBO9780511754494
