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2016 2nd International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM)
The parallel genetic algorithms implementation for neural networks models construction is discussed. The modification of this global optimization algorithm is proposed. The artificial neural networks are effective instrument to solve most problems of technological objectives and processes modelling. The article describes the aspects of genetic algorithms implementation for neural networks structure-parametric synthesis. It is offered to use different parallelization technique of geneticdoi:10.1109/icieam.2016.7911573 fatcat:lhyj5lb3xjaobe54eumsi63adm