Introduction To The Theory Of Neural Computation, Volume I pdf epub mobi txt 电子书下载 2025

简体网页||繁体网页

☆☆☆☆☆

出版者:Westview Press

作者:John A. Hertz

出品人:

页数:350

译者:

出版时间:1991-6-24

价格:USD 61.00

装帧:Paperback

isbn号码:9780201515602

丛书系列:

图书标签:

neural_network
machineLearning
Neural
美國
機器學習
人工神經網絡
人工智能
complexity

下载链接在页面底部

facebook linkedin mastodon messenger pinterest reddit telegram twitter viber vkontakte whatsapp 复制链接

想要找书就要到图书目录大全

book.wenda123.org

立刻按 ctrl+D收藏本页

你会得到大惊喜!!

This book comprehensively discusses the neural network models from a statistical mechanics perspective. It starts with one of the most influential developments in the theory of neural networks: Hopfield's analysis of networks with symmetric connections using the spin system approach and using the notion of an energy function from physics. Introduction to the Theory of Neural Computation uses these powerful tools to analyze neural networks as associative memory stores and solvers of optimization problems. A detailed analysis of multi-layer networks and recurrent networks follow. The book ends with chapters on unsupervised learning and a formal treatment of the relationship between statistical mechanics and neural networks. Little information is provided about applications and implementations, and the treatment of the material reflects the background of the authors as physicists. However the book is essential for a solid understanding of the computational potential of neural networks. Introduction to the Theory of Neural Computation assumes that the reader is familiar with undergraduate level mathematics, but does not have any background in physics. All of the necessary tools are introduced in the book.