Numap7 free download 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. Freeware for fast training, validation, and application 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 download   
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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.

Updated Jan 23, 2006 08:55:48
Size14121 kb
LicenceFreeware
StatusMajor Update
LanguagesEnglish
Tagsneural network, multilayer perceptron, fast training, validation, regression, approximation
OSWindows 2000, Windows XP
Homepageneuraldl.com
Emailfeedback@NeuralDL.com
AuthorMike Manry
Numap7 free download 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. Freeware for fast training, validation, and application 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 download

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Other author's software:
  • MLP-Class 1.0 — Source code for fast training of multilayer perceptron classifier. Data files included. Source code for applying the trained network. Resulting networks can be pruned by NuClass7.06. For winzip password: http://www-ee.uta.edu/eeweb/ip/Software.htm.
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Description:
   Freeware for fast training, validation, and application 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.
Short tags:
neural network, multilayer perceptron, fast training, validation, regression, approximation
System Requirements:
Windows 2000 or XP, 32MB RAM, 25MB hard disk space
Change Info:
Faster algorithms, improved feature selection
find all version  Find last version of Numap7
Free Download now  Free Download Numap7 7.06a from www-ee.uta.edu

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  • Nuclass7 7.06 — Freeware for fast training, validation, and application of neural and conventional classifiers including MLP, functional link net, piecewise linear net, nearest neighbor classifier, self organizing…
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