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

multilayer perceptron, fast training, classification, validation, neural network, nearest neighbor classifier

A.I. Solver Studio is a unique pattern recognition application that deals with finding optimal solutions to classification problems and uses several powerful and proven artificial intelligence techniques including neural networks, genetic programming and genetic algorithms. No special knowledge is required of users as A.I. Solver Studio manages all the complexities of the problem solving internally.

optimization, classification problems, genetic algorithms, artificial intelligence, genetic programming, neural networks, problem solving

Stock NeuroMaster is an investing/trading software for US stock market, with stock forecasting module based on Neural Networks, technical analysis module with popular indicators, detailed trading statistics, user-friendly interface, free online stock quotes. It maximizes your trading profit by predicting the best BUY/SELL moments for your favorite stocks. You can import stock qoute data (not only US) from CSV files or Metastock database.

market, stock prediction, stock forecasting, signals, trader, stock, analysis, investor, neural networks

networks including the multilayer perceptron (MLP), functional link network, ordered 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

multilayer perceptron, fast training, regression, validation, approximation, neural network

network. Resulting networks can be pruned by NuMap7.06. The training algorithm can be modified to be substantially better than BP. A readme file is provided. The classification version of this software, called MLP-Class, is also available. MLP-Map was developed by the Image Processing and Neural Networks Lab of Univ. of Texas at Arlington, and by Neural Decision Lab LLC. For winzip password, go to: http://www-ee.uta.edu/eeweb/ip/Software/Software

multilayer perceptron, fast training, source code, approximation, neural network

network. Resulting networks can be pruned by NuClass7.06. The training algorithm can be modified to be substantially better than BP. A readme file is provided. The approximation/regression version of this software, called MLP-Map, is also available. MLP-Class was developed by the Image Processing and Neural Networks Lab of Univ. of Texas at Arlington, and by Neural Decision Lab LLC. For winzip password, go to: http://www-ee.uta.edu/eeweb/ip/Software

multilayer perceptron, fast training, source code, classification, neural network