MLP-Map 2.0
Source code for fast training of multilayer perceptron for approximation.
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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 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.
The software is meant to be a good starting point for people who like to develop their own code. Also, the saved networks can be pruned by our regular software, Numap7.
For winzip password, go to: http://www-ee.uta.edu/eeweb/ip/Software/Software.htm
tags networks can code for source code
Download MLP-Map 2.0
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Numap 7.06a
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MLP-Map 2.0
Neural Decision Lab LLC
Source code for fast training of multilayer perceptron for approximation.
MLP-Class 2.0
Neural Decision Lab LLC
MLP-Class contains the source code for fast training of multilayer perceptron classifier.
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Source code for fast training of multilayer perceptron for approximation.
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Numap 7.06a
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Numap was developed for fast training, validation, and software of regression/approximation networks including the multilayer perceptron (MLP), functional link network, and piecewise linear network.
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