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Business
/ Math & Scientific Tools
Numap7 - 7.06 |
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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Software Description:
Freeware 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 their own applications. User-supplied txt-format training data files, containing rows of numbers, can be of any size. Example training data is also provided. Fast VB Graphics for network training error and cluster formation are included. Extensive help files are provided in the software.
Numap7 is highly automated and requires very few parameter choices by the user. Advanced features include a fast MLP training algorithm (faster and better than BP and LM), input feature selection, pruning (elimination) of useless units (for MLP) and modules for PLN). Training and validation error are plotted versus network size. Utilities are provided for counting patterns, deleting columns, combining files, splitting files, calculating column mean and standard deviation, and plotting column histograms. Training data can be compressed using the discrete Karhunen-Loeve' transform (KLT). This freeware version of Numap7 limits the MLP to 10 hidden units and limits the PLN to 10 clusters. Upgradable to commercial versions which lacks these limitations. The classification (decision making) version of this software, called Nuclass7, is also available. Numap7.0 was developed by the Image Processing and Neural Networks Lab of Univ. of Texas at Arlington, and by Neural Decision Lab LLC.
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| MLP-Map 1.0 | 159 B | Freeware | |  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... |
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| MLP-Class 1.0 | 172 B | Freeware | | | Source code for fast training of multilayer perceptron classifier. Example training and validation data files included. Source code for applying the trained network. Resulting networks can be pruned by NuClass7.06. The training algorithm can be modified to be substantially better than BP. A readme file is provided.
The approximation/regression version of this software, called MLP-Map, is also available. MLP-Class was developed by the Image... |
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| Nuclass7 7.06a | 14.1 MB | Freeware | | | Freeware for fast training, validation, and application of classification type networks including the multilayer perceptron (MLP), functional link network, piecewise linear network, and nearest neighbor classifier. The self organizing map (SOM) and K-Means clustering are also included. Fast pruning algorithms create a nested sequence of different size networks, to facilitate structural risk minimization. C source code for applying trained... |
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