1)   NeuroSolutions for MATLAB 2.00 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. 2)   TradingSolutions 3.1 Financial analysis and investment software that combines traditional technical indicators with state-of-the-art neural network and genetic algorithm technologies to create remarkably effective trading models for stocks, futures and forex. 3)   DownloaderXL Pack 5.9.98 Powerful stock quotes downloading software for Microsoft Excel. DownloaderXL package includes the following products: DownloaderXL, RTQuotesXL, OptionsXL and PortfolioXL. DownloaderXL downloads free historical stock, index, mutual fund data + more! 4)   2007 Backgammon Pro 5.3 This is the most featured backgammon game available today. It has realistic OpenGL-compatible 3D graphics. There is an online system to play against thousands of players worldwide. Professional version has improved neural nets based AI. 5)   NeuroSolutions 5.01 NeuroSolutions is a highly graphical neural network development tool for Windows. It is a virtually unconstrained environment for designing neural networks for research or to solve real-world problems. 6)   ArtificialNeuronalNetwork 1.00 This package implements an Artifical Neuronal Network (ANN), which is based on a backpropagtion algorithm for your Delphi or C++ Builder application. 7)   NN50.DLL 5.0 Artificial Neural Networks are computational paradigms which implement simplified models of their biological counterparts, biological neural networks. Biological Neural Networks are the local assemblages of neurons and their dendrite connections... 8)   DownloaderXL 5.9.4 Trading and stock quotes downloading software for Microsoft Excel. You can download historical end-of-day and real time quotes into spreadsheets. Portfolio, stock options, stock charts, intraday. 9)   LTF-Cimulator 1.0 LTF-Cimulator is 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.