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NEAT
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NEAT (neuroevolution of augmenting topologies) is a project that combines Artificial Neural Networks and Genetic Algorithms. It has been developed in 2007 in Texas University and its innovation consists in the fact that the ANN modifies its weights and topology, miming the functioning of an organic NN. This implementation will permit to implement a NEAT system easily and without knowing in details the functioning of this. This will allow to solve problems that requires an ANN (image recognition, clustering, finding hidden patterns…) quickly and using ANN with topologies built accordingly to the problem.
Alvin Sartor
Developer of AI solutions - Programmer
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