NuMapNumap - Freeware for fast development and application of approximation type networks | |
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NuMap Ranking & Summary
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- License:
- Free to try
- Price:
- Free to try
- Publisher Name:
- By Neural Decision Lab
- Operating Systems:
- Windows, Windows 2000, Windows XP
- Additional Requirements:
- Windows 2000/XP
- File Size:
- 14.12MB
- Total Downloads:
- 902
NuMap Tags
- Multilayer Validation approximation function data approximation approximation Trigonometric Approximation multilayer perceptron Conventional development conventional perception software validation software link Tanh Approximation analog approximation flat surface approximation rational approximation fraction approximation design neural network Point cloud approximation slinky approximation small angle approximation paraxial optics approximation design logistics networks
NuMap Description
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. The self organizing map (SOM) and K-Means clustering are also included. Fast pruning algorithms create and validate a nested sequence of different size networks, to facilitate structural risk minimization. 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. 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. Numap7.0 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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