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Neural Networks

2007 Backgammon 5.01

2007 Backgammon 5.01: This backgammon game has OpenGL-compatible 3D graphics. This backgammon game has realistic OpenGL-compatible 3D graphics - you can view the board from any angle. You can play against the computer or with your friends and there is an online system to play against thousands of players worldwide. It features neural networks based AI with 6 skill levels.






FindGraph 1.77: Comprehensive graphing, digitizing and curve-fitting software for engineers.
FindGraph 1.77

FindGraph is comprehensive, feature-rich graph editor, as well as a curve fitting and digitizing tool for engineers, scientists and graduate students. Convert plots back to X,Y data from any published report for later processing and manipulations. The program offers 12 generic fits, including Linear Regression, Logistic Functions, Fourier approximation, Neural Networks, B-splines curves, plus a library of over 300 industry-specific formulas.

parametric, chart, equation, interpolate, digitizing, logistic, approximation, curve, math, regression, data analysis, plotting, fitting





Nuclass7 7.1: Freeware for fast development,application of neural and conventional classifiers
Nuclass7 7.1

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



Numap7 7.1: Freeware for fast development and application of approximation type networks
Numap7 7.1

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



Top Dog - Full spectrum email protection 2.0.4: Plug-and-play protection for spam, viruses, and hoaxes for any email program.
Top Dog - Full spectrum email protection 2.0.4

Neural Networks to automatically learn and adapt. The more spam you get the smarter Top Dog gets! Top Dog uses a full range of methods to analyze your email including Bayesian filtering, keyword analysis, collaborative information sharing, adaptive algorithms, heuristics, blackholes, automatic whitelisting and blacklists. Easy to use! Top Dog automatically detects and protects all your accounts. Zero configuration is required. Just install and forget

outlook, email filter, hoax, virus, anti spam, email, spam, eudora, apocgraphy, security, privacy, antivirus



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MLP-Class 1.0

Source code for fast training of multilayer perceptron classifier. Example training and validation data files included. Source code for applying the trained network. Resulting networks can be pruned by NuClass7.06. The training algorithm can be modified to be substantially better than BP. For winzip password, go to :http://www-ee.uta.edu/eeweb/ip/Software/Software.htm

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



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MLP-Map 1.0

Source code for fast training of multilayer perceptron for approximation. Example training and validation data files included. Source code for applying the trained network. Resulting networks can be pruned by NuMap7.06. The training algorithm can be modified to be substantially better than BP. For winzip password, go to :http://www-ee.uta.edu/eeweb/ip/Software/Software.htm

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


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