Source code for fast training of multilayer perceptron for approximation. Example training and validation data files included. Source code for applying the trained network. Resulting networks can be pruned by NuMap7.06. The training algorithm can be modified to be substantially better than BP. A readme file is provided.
The classification version of this software, called MLP-Class, is also available. MLP-Map was developed by the Image Processing and Neural Networks Lab of Univ. of Texas at Arlington, and by Neural Decision Lab LLC. For winzip password, go to: http://www-ee.uta.edu/eeweb/ip/Software/Software.htm
Nuclass7 Freeware for fast training, validation, and application of neural and conventional classifiers including MLP, functional link net, piecewise linear net, nearest neighbor classifier, self organizing map. Extensive help. C source for trained nets
Numap7 Freeware for fast development and application of regression type networks including the multilayer perceptron, functional link net, piecewise linear network, self organizing map and K-Means. Extensive help. C source code for applying trained nets.
MLP-Class Source code for fast training of multilayer perceptron classifier. Data files included. Source code for applying the trained network. Resulting networks can be pruned by NuClass7.06. For winzip password: http://www-ee.uta.edu/eeweb/ip/Software.htm.
Nuclass7 Freeware for fast training, validation, and application of neural and conventional classifiers including MLP, functional link net, piecewise linear net, nearest neighbor classifier, self organizing map. Extensive help. C source for trained nets
Numap7 Freeware for fast development and application of regression type networks including the multilayer perceptron, functional link net, piecewise linear network, self organizing map and K-Means. Extensive help. C source code for applying trained nets.
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