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Freeware for fast training, validation, and application of classification type networks including the multilayer perceptron (MLP), functional link network, piecewise linear network, and nearest neighbor classifier. The self organizing map (SOM) and K-Means clustering are also included. Fast pruning algorithms create 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 classification error and SOM cluster formation are included. Extensive help files are provided in the software.
Nuclass7 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
Freeware for fast development and application of regression type networks including the multilayer perceptron, functional link net, piecewise linear network, self organizing map an ...
meltingSquare Checker checks the content of your files, data tables or emails according to your own validation rules. Save valuable time to your teams and guarantee the quality of ...
GiMeSpace Mega AI predictor is a program that is using past historical data to predict future data. Obvious applications can be predicting stock market shares and any other hard to ...
AMV determines which of addresses in mailing list are dead. The program supports databases (ODBC SQL), TheBat, Eudora and Windows address books, Socks5 proxy protocol. Has open Act ...
docBird CrossReferencer determines matches according to your own rules of recognition. It compares the columns you specify (addresses or descriptions for example) using one of the ...