Isbn: 9783540605058 - neural networks: a systematic introduction (9 Ergebnisse)

Paperback. Zustand: Very Good. Neural Networks: A Systematic Introduction This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping.…

Paperback. Zustand: Very Good. This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. …

Trade paperback. Trade paperback (US). 502 p. Contains: Illustrations. Audience: General/trade. Very good. No dust jacket as issued.

Softcover. 502 p. Good condition. The pages are clean and without markings. Slight signs of storage and use. Retired library copy with corresponding markings. Otherwise, a neat copy. 9783540605058 Sprache: Englisch Gewicht in Gramm: 1000.

Zustand: New. In English.

Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 524 | Sprache: Englisch | Produktart: Bücher | This book presents a general theory of neural nets, starting from general laws, models, and biology. With numereous examples, illustrations, and references it is suitable for readers who seek an overview of the field and as a basis for university courses.…

Paperback. Zustand: Brand New. 1st edition. 522 pages. German language. 9.50x6.25x1.25 inches. In Stock.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Neural networks are a computing paradigm that is finding increasing attention among computer scientists. In this book, theoretical laws and models previously scattered in the literature are brought together into a general theory of artificial neural nets. Always with a view to biology and starting with the simplest nets, it is shown how the properties of models change when more general computing elements and net topologies are introduced. Each chapter contains examples, numerous illustrations, and a bibliography. The book is aimed at readers who seek an overview of the field or who wish to deepen their knowledge. It is suitable as a basis for university courses in neurocomputing. Artificial 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.…

Softcover. Zustand: gut. 1996. Neural Networks In deutscher Sprache. pages.