Artificial Neural Network Demo
Version Compatibility: Visual Basic 6, Visual Basic 5
Unlike traditional linear algorithms, Artificial Neural Networks use highly distributed representations and transformations that operate in parallel, have distributed control through many highly interconnected neurons, and store their information in variable strength connections called synapses - just like a human brain. To train a neural network you must have a data set containing sample parameters which correspond to the results. The data used for training is usually obtained using historical data in which the outcomes are known. You can also train a neural network by creating sample problems and answers. Once the training process is completed, the neural network will be able to predict answers when new inputs are processed.
For more information, consult the readme file included with this project, as well as our demo at http://www.rgsoftware.com
Instructions: Click the link below to download the code. Select 'Save' from the IE popup dialog. Once downloaded, open the .zip file from your local drive using WinZip or a comparable program to view the contents.