Freeware: Neural

	LTF-Cimulator  License: Freeware
	LTF-Cimulator is a software for easy simulation and development of LTF-C neural networks. You can train and test a network, save it in a readable text format or perform cross-validation. Training parameters can be chosen automatically by LTF-Cimulator. Exemplary datasets are included, which will help you become more familiar with the program. Author: Marcin Wojnarski| Date: 15-12-2002 | Size: 1066 KB
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	A.I. Solver Studio  License: Freeware
	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. This leaves users free to concentrate on formulating their problems of interest.Typically, all that is required of users is that they formulate their problems by creating training data and test data. A.I. Solver Studio is capable of reading virtually any kind delimited text file format where each line represents one data item. By testing solutions on testing data after each training iteration users have clear picture of how their solution performs in real world scenarios at any given time and can use this data to decide when a solution is good enough for their needs. Author: Practical A.I. Solutions| Date: 06-01-2007 | Size: 454 KB
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	OpenDDPT  License: Freeware
	The physic of the real world can be formulated into mathematical form using differential equations. Differential equation and systems of differential equations are the natural language trough we can describe any real devices like electronic circuit, automatic controls, elettro-magnetic wave emission or any other engineering problems. The purpose of OpenDDPT project is to build a software that can aids people to build automatically these control devices. The strategy used by this software is based on the concept that differential equations generally are parameters dependent so we can found optimal control parameters using an optimization template. The optimization tool-box used by OpenDDPT is an innovative non-convex second-order method that replaces the hessian structure (the hessian matrix has heavy memory storage and an expensive computational-cost) with directional-derivatives , reducing the second order information computational cost of one order without approximation.Control's local informations (i.e. gradient and it's directional derivate) are found trough an extended form of the back-propagation rule used for neural-network and that new extended form can perform not only weighted-sum and sigmoidal saturations but also multiplication ,addition, time-delay and any non-linearity and it can be used as a generic expression for realizing any non linear discrete time control device. Author: Centi Riccardo| Date: 08-01-2006 | Size: 2235 KB
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	Numap7  License: Freeware
	Freeware for fast training, validation, and application of regression/approximation networks including the multilayer perceptron (MLP), functional link network, piecewise linear network, self organizing map (SOM) and K-Means clustering. 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 training error and cluster formation are included. Extensive help files are provided in the software. Numap7 is highly automated and requires very few parameter choices by the user. Advanced features include a fast MLP training algorithm (faster and better than BP and LM), input feature selection, pruning (elimination) of useless units (for MLP) and modules for PLN). Training and validation error are plotted versus network size. Utilities are provided for counting patterns, deleting columns, combining files, splitting files, calculating column mean and standard deviation, and plotting column histograms. Training data can be compressed using the discrete Karhunen-Loeve' transform (KLT). This freeware version of Numap7 limits the MLP to 10 hidden units and limits the PLN to 10 clusters. Upgradable to the commercial version, which lacks these limitations. The classification (decision making) version of this software, called Nuclass7, is also available. Numap7.0 was developed by the Image Processing and Neural Networks Lab of Univ. of Texas at Arlington, and by Neural Decision Lab LLC. Author: Neural Decision Lab LLC| Date: 14-10-2004 | Size: 14177 KB
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