engleski

Genetic algorithms and neural networks in optimization and control of aluminum extrusion process

In this paper an effort is made to introduce new approaches to optimization and control of aluminum extrusion process in order to establish an expert system capable to assist production and technology menagement. Neural network is trained on technology process track record to be able to describe complex dependances between influence parameters and product outgoing characteristics. A genetic algorithm based optimization of the technological process is proposed, where influence parameters are treated as heritage information and neural network is used as fitness function.

genetic algorithm; neural network; optimization; aluminium; extrusion

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