| 书目名称 | Non-Linear Feedback Neural Networks | | 副标题 | VLSI Implementations | | 编辑 | Mohd. Samar Ansari | | 视频video | | | 概述 | First dedicated book on non-linear feedback neural networks.Contains thorough discussion on transcendental energy function.Includes special chapter on Hopfield Network, its applications, and limitatio | | 丛书名称 | Studies in Computational Intelligence | | 图书封面 |  | | 描述 | This book aims to present a viable alternative to the Hopfield Neural Network (HNN) model for analog computation. It is well known the standard HNN suffers from problems of convergence to local minima, and requirement of a large number of neurons and synaptic weights. Therefore, improved solutions are needed. The non-linear synapse neural network (NoSyNN) is one such possibility and is discussed in detail in this book. This book also discusses the applications in computationally intensive tasks like graph coloring, ranking, and linear as well as quadratic programming. The material in the book is useful to students, researchers and academician working in the area of analog computation. | | 出版日期 | Book 2014 | | 关键词 | Graph Coloring; Hardware Simulation; Hopfield Neural Network; Mathematical Programming; Neural Networks; | | 版次 | 1 | | doi | https://doi.org/10.1007/978-81-322-1563-9 | | isbn_softcover | 978-81-322-2896-7 | | isbn_ebook | 978-81-322-1563-9Series ISSN 1860-949X Series E-ISSN 1860-9503 | | issn_series | 1860-949X | | copyright | Springer India 2014 |
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发表于 2025-3-21 16:40:06
