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[matlab用MATLAB开发的BP算法源程序

Description: 基于神经网络工具箱函数trainbp和simuff实现的BP算法源程序,内附样本数据和测试数据。-based on neural network toolbox function and simuff trainbp BP algorithm to achieve the source, containing sample data and test data.
Platform: | Size: 555 | Author: 萧雪鱼 | Hits:

[AI-NN-PRbp339

Description: 基于神经网络工具箱函数trainbp和simuff实现的BP算法源程序,内附样本数据和测试数据。-based on neural network toolbox function and simuff trainbp BP algorithm to achieve the source, containing sample data and test data.
Platform: | Size: 1024 | Author: 萧雪鱼 | Hits:

[matlabnntest6

Description: function nntest6(action,flag) NNTEST6 View and Control Neural network. See also SIMUFF. Koos j. den Oudsten, 1-20-99 koos@phil.uu.nl Copyright (c) 1998-99 by KoosSoft vof $Revision: 0.4 $ $Date: 1999/01/27 22:29:28 $ global Xx w1 b1 w2 b2 hidden mlp if nargin < 1 action = start end On recursive calls get all necessary handles and data. if ~strcmp(action, start ) childList = allchild(0) nn_fig = childList(find(childList == gcf)) ud = gco popupvalue = get(ud.popup, Value ) -function nntest6(action,flag) NNTEST6 View and Control Neural network. See also SIMUFF. Koos j. den Oudsten, 1-20-99 koos@phil.uu.nl Copyright (c) 1998-99 by KoosSoft vof $Revision: 0.4 $ $Date: 1999/01/27 22:29:28 $ global Xx w1 b1 w2 b2 hidden mlp if nargin < 1 action = start end On recursive calls get all necessary handles and data. if ~strcmp(action, start ) childList = allchild(0) nn_fig = childList(find(childList == gcf)) ud = gco popupvalue = get(ud.popup, Value )
Platform: | Size: 2048 | Author: hacen | Hits:

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