基于GA遗传算法的BP神经网络优化matlab仿真,仿真输出优化过程中染色体编码长度,预测结果精度【包含程序操作录像,代码注释】

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.