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This project includes the implementation of a neural network MLP, RBF, SOM and Hopfield networks in several popular programming languages. The project also includes examples of the use of neural networks as function approximation and time series prediction. Includes a special program makes it easy to test neural network based on training data and the optimization of the network.
This is an algorithm to codify Spanish words to an equivalent phonetic code. That intends to be a substitute of Soundex algorithm that is not practical to use in Spanish. It is very useful for search engines based on text information.
The Drools.NET is a .NET port for Drools, which is a java Rules Engine based on Charles Forgy's Rete algorithm. Drools.NET enables .NET developers/Users to exploit the powerful Rule Engine like Drools through a completely managed .NET code base.
Common utility methods, classes and algorithm library for general use. Although this library focuses on common utility algorithms, main goal of this library is ease of use by trading some flexibility.