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Evolving Universal Learning Networks Through Erlang

About the Talk

March 29, 2012 11:20 AM

Marines’ Memorial Club & Hotel 609 Sutter Street San Francisco

Marines’ Memorial Club & Hotel 609 Sutter Street San Francisco

This talk will cover the use of Erlang in the development of Neural Networks, and other types of evolving learning graphs (Universal Learning Networks). The talk will elaborate on why Erlang is a perfect fit for the development of distributed learning networks, the importance of Erlang's features to the field of Computational Intelligence, 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.

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