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.
Gene SherNeuroevolution Through Erlang
Gene is a computational intelligence researcher and the inventor of DXNN, a highly efficient Topology and Weight Evolving Artificial Neural Network.