... for fast training, validation, and application of regression/approximation networks. Fast pruning algorithm creates a nested sequence of different size networks. Includes the multilayer perceptron (MLP), functional link network, piecewise linear network, self organizing map (SOM) and K-Means clustering. C source code for applying trained networks is provided, so users can use networks in ...

... fast training, validation, and application of classification type networks. Fast pruning algorithm creates a nested sequence of different size networks. Includes the multilayer perceptron (MLP), functional link network, piecewise linear network, nearest neighbor classifier (NNC), self organizing map (SOM) ... K-Means clustering. C source code for applying trained networks is provided, so users can use networks in ...

... files included. Source code for applying the trained network. Resulting networks can be pruned by NuMap7.06. The training algorithm ... 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: ...

... files included. Source code for applying the trained network. Resulting networks can be pruned by NuClass7.06. The training algorithm ... MLP-Class 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: ...