GA-BP汇总大全(含详细教程代码和论文)

所属分类:人工智能/神经网络/深度学习
开发工具:matlab
文件大小:6141KB
下载次数:20
上传日期:2019-12-29 23:34:45
上 传 者6320123
说明:  文中包含利用遗传算法进行优化的梯度下降神经网络的代码和教程,内容非常丰富,包含可以直接运行的代码和相关重要参考文献论文,可帮助理解,属于很综合的优秀资料,个人现分享出来供大家学习,谢谢!
(This article contains the code and tutorial of gradient descent neural network optimized by genetic algorithm. The content is very rich, including the code that can be run directly and related important reference papers, which can help to understand. It is a very comprehensive and excellent material. Now I share it for you to learn. Thank you!)

文件列表:
GA-BP汇总大全(含详细教程代码和论文)\代码和例程\boiler_process.m (5131, 2019-12-03)
GA-BP汇总大全(含详细教程代码和论文)\代码和例程\BP.asv (1009, 2015-05-11)
GA-BP汇总大全(含详细教程代码和论文)\代码和例程\BP.m (1037, 2015-05-11)
GA-BP汇总大全(含详细教程代码和论文)\代码和例程\BP_Ga\Code.m (420, 2009-08-16)
GA-BP汇总大全(含详细教程代码和论文)\代码和例程\BP_Ga\Cross.m (1556, 2009-08-31)
GA-BP汇总大全(含详细教程代码和论文)\代码和例程\BP_Ga\data.m (134, 2009-09-18)
GA-BP汇总大全(含详细教程代码和论文)\代码和例程\BP_Ga\data.mat (46404, 2009-09-18)
GA-BP汇总大全(含详细教程代码和论文)\代码和例程\BP_Ga\Decode.m (1158, 2009-08-31)
GA-BP汇总大全(含详细教程代码和论文)\代码和例程\BP_Ga\fun.m (1013, 2010-11-27)
GA-BP汇总大全(含详细教程代码和论文)\代码和例程\BP_Ga\Genetic.m (4299, 2010-11-28)
GA-BP汇总大全(含详细教程代码和论文)\代码和例程\BP_Ga\Mutation.m (1602, 2009-11-12)
GA-BP汇总大全(含详细教程代码和论文)\代码和例程\BP_Ga\PSO.m (5046, 2010-11-28)
GA-BP汇总大全(含详细教程代码和论文)\代码和例程\BP_Ga\Select.m (853, 2013-08-21)
GA-BP汇总大全(含详细教程代码和论文)\代码和例程\BP_Ga\test.m (291, 2009-08-31)
GA-BP汇总大全(含详细教程代码和论文)\代码和例程\chapter3\Code.m (420, 2009-08-16)
GA-BP汇总大全(含详细教程代码和论文)\代码和例程\chapter3\Cross.m (1556, 2009-08-31)
GA-BP汇总大全(含详细教程代码和论文)\代码和例程\chapter3\data.m (134, 2009-09-18)
GA-BP汇总大全(含详细教程代码和论文)\代码和例程\chapter3\data.mat (46404, 2009-09-18)
GA-BP汇总大全(含详细教程代码和论文)\代码和例程\chapter3\Decode.m (1158, 2009-08-31)
GA-BP汇总大全(含详细教程代码和论文)\代码和例程\chapter3\fun.m (1013, 2010-11-27)
GA-BP汇总大全(含详细教程代码和论文)\代码和例程\chapter3\Genetic.m (5850, 2019-04-04)
GA-BP汇总大全(含详细教程代码和论文)\代码和例程\chapter3\Mutation.m (1602, 2009-11-12)
GA-BP汇总大全(含详细教程代码和论文)\代码和例程\chapter3\mydata.mat (501, 2019-04-03)
GA-BP汇总大全(含详细教程代码和论文)\代码和例程\chapter3\PSO.m (5046, 2010-11-28)
GA-BP汇总大全(含详细教程代码和论文)\代码和例程\chapter3\Select.m (854, 2019-04-04)
GA-BP汇总大全(含详细教程代码和论文)\代码和例程\chapter3\test.m (291, 2009-08-31)
GA-BP汇总大全(含详细教程代码和论文)\代码和例程\Code.m (420, 2009-08-16)
GA-BP汇总大全(含详细教程代码和论文)\代码和例程\Cross.m (1556, 2009-08-31)
GA-BP汇总大全(含详细教程代码和论文)\代码和例程\data.mat (46404, 2009-09-18)
GA-BP汇总大全(含详细教程代码和论文)\代码和例程\Decode.m (1158, 2009-08-31)
GA-BP汇总大全(含详细教程代码和论文)\代码和例程\fun.asv (1080, 2015-05-11)
GA-BP汇总大全(含详细教程代码和论文)\代码和例程\fun.m (1083, 2015-05-11)
GA-BP汇总大全(含详细教程代码和论文)\代码和例程\GA\best.m (293, 2016-09-10)
GA-BP汇总大全(含详细教程代码和论文)\代码和例程\GA\calfitvalue.m (253, 2016-09-10)
GA-BP汇总大全(含详细教程代码和论文)\代码和例程\GA\calobjvalue.m (846, 2016-09-10)
GA-BP汇总大全(含详细教程代码和论文)\代码和例程\GA\can.m (1015, 2016-09-10)
GA-BP汇总大全(含详细教程代码和论文)\代码和例程\GA\che1.m (692, 2016-09-10)
GA-BP汇总大全(含详细教程代码和论文)\代码和例程\GA\crossover.m (742, 2016-09-10)
GA-BP汇总大全(含详细教程代码和论文)\代码和例程\GA\GA.m (4329, 2016-09-10)
GA-BP汇总大全(含详细教程代码和论文)\代码和例程\GA\initpop.m (175, 2016-09-10)
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This directory contains the Genetic Algorithm Optimization Toolbox for Matlab 5. To use this, if you are local to NCSU and have AFS access to this directory, simply extend the matlab path using the following command. You can also place this command in a file called startup.m. Everytime you start Matlab in the directory containing this file, the path will always be extended. >>path(path,'/afs/eos/service/ie/research/kay_res/GAToolBox/gaot'); Otherwise, install the .m files into a directory named gaot and extend the matlab path to that directory. The compressed tar archive and the zip file should automatically create the gaot directory for you. The companion paper describing this toolbox is included here as gaotv5.ps. The paper, the three demo files, gademo1.m gademo2.m gademo3.m, and four example scripts, binaryExample, floatExample, floatGradExample, and orderbasedExample, should be sufficient explanation of this toolbox. For any questions, comments, suggestions send mail to jjoine@eos.ncsu.edu. For a list of the files in the tool box get help on gaot. Thanks for trying the toolbox.

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