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NeuroSolutions

$195.00 - NeuroDimension, Inc.
NeuroSolutions is a highly graphical neural network development tool for Windows. This leading edge software combines a modular, icon-based network design interface with an implementation of advanced learning procedures, such as recurrent backpropagation, backpropagation through time and genetic optimization. The result is a virtually unconstrained environment for designing neural networks for research or to solve real-world problems.
neural network, perceptron, backpropagation, artificial intelligence, network, artificial, genetic, intelligence, regression, neural networks, classification, visual
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NeuroSolutions for MATLAB

$795.00 - NeuroDimension, Inc.
The NeuroSolutions for MATLAB neural network toolbox is a valuable addition to MATLAB's technical computing capabilities allowing users to leverage the power of NeuroSolutions (www.neurosolutions.com) inside MATLAB and Simulink. The toolbox features 15 neural models, 5 learning algorithms and a host of useful utilities integrated in an easy-to-use interface, which requires “next to no knowledge” of neural networks to begin using the product.
neurodimension, modeling, classifier, forecasting, excel, fuzzy, data mining, genetic algorithm, artificial inteligence, pattern recognition, education, sharky
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TradingSolutions

$995.00 - NeuroDimension, Inc.
Financial analysis and investment software that combines traditional technical analysis with state-of-the-art artificial intelligence technologies. Use any combination of financial indicators in conjunction with advanced neural networks and genetic algorithms to create remarkably effective end-of-day or real-time trading models for stocks, futures and forex. Included is a free Solution Service, which includes 10 neural network models.
computational intelligence, validation, machine learning, neuron, multilayer perceptron, recognition, supervised learning, fast training, options, investment, forecast, prediction
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Nuclass7

Free - Neural Decision Lab LLC
Freeware for fast training, validation, and application of neural and conventional classifiers including multilayer perceptron, functional link network, piecewise linear network, self organizing map and K-Means. C source provided 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.
network prediction, network predict, net predict, predict stock, net prediction, neural net, simulink, technical analysis, matlab, commodities, algorithm, analysis
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