engleski

Artificial neural network and genetic algorithms in aluminum extrusion

In this paper an attempt of optimization and control of aluminum extrusion process via artificial neural network and genetic algorithms is presented. Neural network is trained on experiment data and the extrusion process is optimized by genetic algorithms using neiral network as object function. Results are proves reliability and robustness of approach.

aluminum; extrusion; genetic algorithms; artificial neural network

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