000			nam a22 7a 4500
999			_c28546 _d28546
008			180502b xxu||||| |||| 00| 0 eng d
020			_a9783540605058
082			_a006.3 _bROJ
100			_aRojas, Raul
245			_aNeural networks : a systematic introduction
260			_bSpringer, _c1996 _aBerlin:
300			_axx, 502 p. _bill. _c24 cm.
365			_aEURO _b74.95, 6643.85
520			_aArtificial neural networks are an alternative computational paradigm with roots in neurobiology which has attracted increasing interest in recent years. This book is a comprehensive introduction to the topic that stresses the systematic development of the underlying theory. Starting from simple threshold elements, more advanced topics are introduced, such as multilayer networks, efficient learning methods, recurrent networks, and self-organization. The various branches of neural network theory are interrelated closely and quite often unexpectedly, so the chapters treat the underlying connection between neural models and offer a unified view of the current state of research in the field. The book has been written for anyone interested in understanding artificial neural networks or in learning more about them. The only mathematical tools needed are those learned during the first two years at university. The text contains more than 300 figures to stimulate the intuition of the reader and to illustrate the kinds of computation performed by neural networks. Material from the book has been used successfully for courses in Germany, Austria and the United States.
650			_aBiological Paradigm
650			_aThreshold Logic
650			_aFuzzy Logic
650			_aKohonen Networks
650			_aGenetic Algorithms
942			_2ddc _cBK