Numap7 7.1

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. ...

Author Neural Decision Lab LLC
License Freeware
Price FREE
Released 2007-09-25
Downloads 424
Filesize 13.73 MB
Requirements Windows 2000 or XP, 32MB RAM, 25MB hard disk space
Installation Install Only
Keywords neural network, multilayer perceptron, fast training, validation, regression, approximation
Users' rating
(2 rating)
Numap7Math & Scientific ToolsWindows 2000, Windows XP, Windows 2003
Numap7 graphics processing - Download Notice

Using Numap7 Free Download crack, warez, password, serial numbers, torrent, keygen, registration codes, key generators is illegal and your business could subject you to lawsuits and leave your operating systems without patches. We do not host any 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.
Avoid: graphics processing oem software, old version, warez, serial, torrent, Numap7 keygen, crack.
Consider: Numap7 full version, graphics processing full download, premium download, licensed copy.

Numap7 graphics processing - The Latest User Reviews

Most popular Math & Scientific Tools downloads

Nuclass7

7.1 download

... Example training data is also provided. Fast VB Graphics for network classification error and SOM cluster formation ... also available. Nuclass7 was developed by the Image Processing and Neural Networks Lab of Univ. of Texas ...

Numap7

7.1 download

... Example training data is also provided. Fast VB Graphics for network training error and cluster formation are ... also available. Numap7.1 was developed by the Image Processing and Neural Networks Lab of Univ. of Texas ...