人工神经网络与模糊

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人工神经网络与模糊Tag内容描述:

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3、Artificial Intelligence through Prolog by Neil C. Rowe Artificial Intelligence through Prolog by Neil C. RowePrentice-Hall, 1988, ISBN 0-13-048679-5Full text of book (without figures)Table of Contents Preface Chapter 1 Chapter 2 Chapter 3 Chapter 4 Chapter 5 Chapter 6 Chapter 7 Chapter 8 Chapter 9 Chapter 10 Chapter 11 Chapter 12 Chapter 13 Chapter 14 Chapter 15 Appendix A Appendix B Appendix C Appendix D Appendix E Appendix F Appendix G Some figures in crude form Instructors Manual, contai。

4、C8D6D3D0D3CV C8D6D3CVD6CPD1D1CXD2CVBT BYCXD6D7D8 BVD3D9D6D7CTC8CPD9D0 BUD6D2CPC2CPD2D9CPD6DD BEBGB8 BEBCBCBDBTCQD7D8D6CPCRD8CCCWCT CRD3D9D6D7CT CUD3D6 DBCWCXCRCW D8CWCTD7CT D2D3D8CTD7 CPD6CT CSCTD7CXCVD2CTCS CXD7 CXD2D8CTD2CSCTCS CUD3D6 D9D2CSCTD6CVD6CPCSD9CPD8CTD7D8D9CSCTD2D8D7DBCWD3CWCPDACTD7D3D1CTD4D6D3CVD6CPD1D1CXD2CVCTDCD4CTD6CXCTD2CRCTCPD2CSD1CPDDCTDACTD2CWCPDACTDBD6CXD8D8CTD2CPCUCTDBD4D6D3CVD6CPD1D7CXD2C8D6D3D0D3CVBA CCCWCTDDCPD6CTD2D3D8CPD7D7D9D1CTCSD8D3CWCPDACTCWCPCSCPD2DDCUD3D6D1CPD0CR。

5、Programming in Emacs LispAn IntroductionProgramming in Emacs LispAn IntroductionEdition 1.05, 21 October 1997by Robert J. ChassellCopyright c1990, 91, 92, 93, 94, 95, 97 Free Software Foundation, Inc.Published bytheFree Software Foundation, Inc.59 Temple Place, Suite 330Boston, MA 02111-1307 USAISBN-1882114-41-8Permission is granted to make and distribute verbatim copies of this manual provided thecopyright notice and this permission notice are preserved on all copi。

6、Basic Lisp TechniquesDavid J. Cooper, Jr.September 10, 2000ii0Copyright c 2000, Franz Inc. and David J. Cooper, Jr.Foreword1Computers, and the software applications that power them, permeate every facet of our daily lives.From groceries to airline reservations to dental appointments, our reliance on technology is all-encompassing.And, we want more. Every day, our expectations of technology and software increase:smaller cell phones that surf the netbetter search engines that generate information 。

7、Artificial IntelligenceA Modern ApproachStuart J. Russell and Peter NorvigContributing writers:John F. Canny, Jitendra M. Malik, Douglas D. EdwardsPrentice Hall, Englewood Cliffs, New Jersey 07632Library of Congress Cataloging-in-Publication DataRussell, Stuart J. (Stuart Jonathan)Artificial intelligence : a modern approach/ Stuart Russell, Peter Norvig.p. cm.Includes bibliographical references and index.ISBN 0-13-103805-21. Artificial intelligence I. Norvig, Peter. II. Title.Q335.R86 1995006.3-。

8、人工神经网络与神经网络控制宝春2008年11月人工神经网络与神经网络控制1 人工神经网络概述2 人工神经网络发展3 人工神经网络模型4 神经网络的工作方式及其特点5 神经网络的设计开发过程6 人工神经网络的应用7 神经网络控制8 净水厂最佳。

9、ARTIFICIAL NEURALNETWORKS TECHNOLOGYA DACS State-of-the-Art ReportContract Number F30602-89-C-0082(Data values suchas the average, the largest, the smallest, the ORed values, the ANDed values,etc. Furthermore, most commercial development products allow softwareengineers to create their own summing functions via routines coded in ahigher level language (C is commonly supported). Sometimes the summingfunction is further complicated by the addition of an activation functionwhich enables the summ。

10、Introduction of Artificial Intelligence第 8 章 人工神经网络及其应用教材:王万良人工智能导论(第3版)高等教育出版社,2011. 22第8章 人工神经网络及其应用 人工神经网络是对人脑或生物神经网络若干基本特性的抽象和模拟。为机器学习等许多问题的研究提供了一条新的思路,目前已经在模式识别、机器视觉、联想记忆、自动控制、信号处理、软测量、决策分析、智能计算、组合优化问题求解、数据挖掘等方面获得成功应用。 本章着重介绍最基本、最典型、应用最广泛的BP神经网络和Hopfield神经网络及其在模式识别、联想记忆、软测量、智能计。

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