| 书目名称 | Neural Network Models | | 副标题 | Theory and Projects | | 编辑 | Philippe Wilde | | 视频video | | | 图书封面 |  | | 描述 | Providing an in-depth treatment of neural network models, this volume explains and proves the main results in a clear and accessible way. It presents the essential principles of nonlinear dynamics as derived from neurobiology, and investigates the stability, convergence behaviour and capacity of networks. Also included are sections on stochastic networks and simulated annealing, presented using Markov processes rather than statistical physics, and a chapter on backpropagation. Each chapter ends with a suggested project designed to help the reader develop an integrated knowledge of the theory, placing it within a practical application domain. .Neural Network Models: Theory and Projects . .concentrates. on. .the essential parameters and results that will enable the reader to design hardware or software implementations of neural networks and to assess critically existing commercial products. | | 出版日期 | Textbook 1997Latest edition | | 关键词 | Hardware; Signal; Software; backpropagation; knowledge; network; neural networks | | 版次 | 2 | | doi | https://doi.org/10.1007/978-1-84628-614-8 | | isbn_softcover | 978-3-540-76129-7 | | isbn_ebook | 978-1-84628-614-8 | | copyright | Springer-Verlag Berlin Heidelberg 1997 |
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发表于 2025-3-21 17:13:46
