Towards designing artificial neural networks by evolution
Applied Mathematics and Computation - Special issue on articficial life and robotics
Evolving neural networks for static single-position automated trading
Journal of Artificial Evolution and Applications - Regular issue
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This paper presents an approach to the joint optimization of neural network structure and weights which can take advantage of backpropagation as a specialized decoder. The approach is applied to binary classification of brain waves in the context of brain-computer interfaces.