dANN is a free Artificial Intelligence and Artificial Genetics library targeted at employing conventional techniques as well as acting as a platform for development and research of novel techniques.

As new techniques are developed and proven to be effective they will be integrated into the core library.

Some of the technologies currently employed in the dANN library include the following:
· Hyperassociative Map
· Artificial Neural Networks: Backprop learning, Perceptron Networks, Feedforward Networks, Fully or Partial Recurrent Networks, 3D Visualization of Network Structure
· Artificial Genetics: Wavelet Genetics, Genetic Algorithms

Here are some key features of "dANN":

· Hyperassociative Map
· 3D mapping and visualizations
· Genetic Algorithms
· Genetic Programming
· Wavelet Genetics
· ANN Connection Optimization
· ANN Genetic Framework
· Backprop ANN
· Perceptron ANN
· Layered Feedforward ANN
· Fully/Partial Recurent ANN
· Example Applications