Neural Network Synthesis via Asynchronous Analytic Programming
نویسندگان
چکیده
This article deals with Analytic Programming (AP) which was proven to be highly effective tool of Artificial Neural Network (ANN) synthesis and optimization. New innovative asynchronous distribution of Self-Organizing Migration Algorithm (SOMA) is introduced and used together with AP. Such implementation can for example save 67% of computation time if distributed between 8 processors. Efficiency of AP as well as asynchronous distribution of SOMA was tested and statistically measured on 921937 evaluations, each of them containing another separate execution of SOMA. Key-Words: Neural Network, Analytic Programming, SOMA, optimization, parallel evolutionary algorithm
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تاریخ انتشار 2011