Neuroevolution Through Erlang
This talk will cover the use of Erlang in the development of Neural Networks, and other types of evolving learning Universal Learning Network based intelligent agents. The talk will elaborate on why Erlang is a perfect fit for the development of distributed neural networks, the importance of Erlang’s features to the field and future of Computational Intelligence, its role as the quintessential neural network programming language, and provide a case study of its use in the construction of distributed topology and parameter evolving universal learning network called DXNN.
Talk objectives: To discuss the utility, applicability, and effectiveness of Erlang within the field of Computational Intelligence development, and to provide a case study of using Erlang to develop a scalable universal learning network.
Target audience: Computational Intelligence researchers and enthusiasts, Erlang programmers and anyone that is generally interested in developing soft computing systems.
Gene Sher Neuroevolution Through Erlang
Author of Springer published book "Handbook of Neuroevolution Through Erlang
", and the inventor of the memetic algorithm based Topology and Parameter Evolving Universal Learning Network called DXNN. Gene does research within the field of computational intelligence, and the application of Neuroevolutionary based systems to robotics, bioinformatics, and algorithmic trading.