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Numap7 Publisher Description

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.

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Numap7 7.1

Freeware for fast development and application of approximation type networks

Version:	7.1	Date Added:	Sep 25, 2007
File Size:	13.73MB	Downloads:	129
License:	Freeware
System:	Windows 2000/XP/Server
Limitations:
Publisher:	Neural Decision Lab LLC , More products
Requirements:	Windows 2000 or XP, 32MB RAM, 25MB hard disk space

File size: 13.73MB

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...... 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. This version runs significantly faster. Advanced features include network sizing and feature selection. Training data can be compressed using the discrete Karhunen-Loeve' transform (KLT). This basic version of Numap7 limits the MLP to 10 hidden units and limits the PLN to 10 clusters. Upgradable to commercial versions which lack these limitations. The classification (decision making) version of this software, called Nuclass7, is also available. Numap7.1 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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