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. For winzip password, go to :http://www-ee.uta.edu/eeweb/ip/Software/Software.htm

multilayer perceptron, fast training, source code, approximation, neural network

Freeware for fast training, validation, and application of regression/approximation networks including the multilayer perceptron, functional link network, piecewise linear network, self organizing map and K-Means. C source for applying trained networks. Extensive help. User-supplied txt-format training data files, containing rows of numbers, can be of any size. Pruning for approximate structural risk minimization.

multilayer perceptron, fast training, regression, validation, approximation, neural network

Freeware for fast training, validation, and application of neural and conventional classifiers including multilayer perceptron, functional link network, piecewise linear network, self organizing map and K-Means. C source provided for applying trained networks. Extensive help. User-supplied txt-format training data files, containing rows of numbers, can be of any size. Pruning for approximate structural risk minimization.

multilayer perceptron, fast training, classification, validation, neural network, nearest neighbor classifier