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Perceptron downloads

Fast training of classification type networks; Flexible and graphical neural network development tool with genetic optimization; Fast training of regression type networks




Type: Demo Cost: 195.00$ Released: 2005-10-17
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.
Paltforms: Windows
Keywords: neural, visual, RBF, classifier, analysis, free
Download (31525K)
Type: Demo Cost: 795.00$ Released: 2004-09-10
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.
Paltforms: Windows
Keywords: visual, Simulink, regression, MLP, perceptron, network
Download (9833K)
Type: Freeware Released: 2005-04-06
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, 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.
Business Math & Scientific ToolsNumap7 7.06 by Neural Decision Lab LLC
Type: Freeware Released: 2005-04-06
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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