In then randomizes the order of vectors within the matricies, keeping the relationship between pair of vectors between the matricies constant. One possible use for this code is to randomize the order of presentation of input-output pairs when training artificial neural networks using backpropogation type learning procedures. 5.0 or higher. 1.0 package without a graphical user interface. Here is my implementation of evolutionary optimization of neural networks.
Function is based on differential evolution.
There is also a demo, demo01.m, demonstrating the usage of this training method. These M-files were tested with Matlab v.4.0 and v. 5.0 and run equally well under both versions.