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Navigation: Freeware Home - Business - Math & Scientific Tools - Numap7

Numap7 7.06 freeware     Save this freeware to your freeware selection - Saved Freeware

(1 rating)

Author

Neural Decision Lab LLC
OS Windows2000, WinXP
Date Released April 06, 2005
Downloads 1541
Filesize 13.84 MB
Keywords neural network, multilayer perceptron, fast training, validation, regression, approximation
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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, utilities for pre-processing and handling of training data are also provided. User-supplied txt-format training data files, containing rows of numbers, can be of any size.

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Numap7 freeware - download notice

Numap7 Free Download - we do not host any Numap7 torrent files or links of Numap7 on rapidshare.com, depositfiles.com, megaupload.com etc. All Numap7 download links are direct Numap7 full download from publisher site or their selected mirrors.

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Numap7 freeware - The Latest Versions History

Version Date Released Status Release Notes
7.06 Apr 6, 2005 Major Update Improved help, Faster MLP validation, Improved feature selection
7.06a Jan 11, 2006 Major Update Faster algorithms, improved feature selection
7.06 Apr 6, 2005 Major Update Improved help, Faster MLP validation, Improved feature selection
7.06a Jan 11, 2006 Major Update Faster algorithms, improved feature selection
7.06 Apr 6, 2005 Major Update Improved help, Faster MLP validation, Improved feature selection
7.06a Jan 11, 2006 Major Update Faster algorithms, improved feature selection
7.06 Apr 6, 2005 Major Update Improved help, Faster MLP validation, Improved feature selection
7.06a Jan 11, 2006 Major Update Faster algorithms, improved feature selection
7.06 Apr 6, 2005 Major Update Improved help, Faster MLP validation, Improved feature selection
7.06a Jan 11, 2006 Major Update Faster algorithms, improved feature selection


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