000			02184nam a22003498i 4500
001			CR9780511754494
003			UkCbUP
005			20200124160252.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			100422s2002||||enk o ||1 0|eng|d
020			_a9780511754494 (ebook)
020			_z9780521652476 (hardback)
020			_z9780521018630 (paperback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aQA76.87 _b.C494 2002
082	0	0	_a006.3/2 _221
100	1		_aChua, Leon O., _d1936- _eauthor.
245	1	0	_aCellular neural networks and visual computing : _bfoundation and applications / _cLeon O. Chua and Tamáz Roska.
246	3		_aCellular Neural Networks & Visual Computing
264		1	_aCambridge : _bCambridge University Press, _c2002.
300			_a1 online resource (xi, 396 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
520			_aCellular 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.
650		0	_aNeural networks (Computer science)
700	1		_aRoska, T., _eauthor.
776	0	8	_iPrint version: _z9780521652476
856	4	0	_uhttps://doi.org/10.1017/CBO9780511754494
999			_c519572 _d519570