User:L403


 * WIP

dANN is a library of implementations of artificial intelligence. It's goal is to create a useful set of methods that can be used in conventional software development or as a base to research and further development of more sophisticated methods.

The library extensively uses the approach of using artificial neural network for adaptive logic and data evaluation. As neural network show great adaptability to the data being input they are ideal for analysis of sophisticated data structures. The flexibility of the computation model can be used for versatile applications like decision making. The dANN library separates the functionality into several categories. The graph theory contains various methods of path searching algorithms such as A*, Djikstra's, Bellman-Ford algorithm, Johnson's algorithm, Floyd-Warshall algorithm and the Hill Climbing Local Search algorithm.