Artificial neural network for optimization of the dynamic linear model of production
Artificial neural network for optimization of the dynamic linear model of production

Summary/Abstract: The article presents the usage of artificial neural network for optimization of the dynamic models of plants production. This approach for optimization is part of the production and quality management where it is very important to obtain a high-quality product. For production management many different models can be used. In the paper the differences between the staged production models were described. Also the characteristics of artificial neural network used to find solutions of the staged models were presented. Each dynamic model of plant production takes into account the crop rotation. The crop rotation is necessary to keep the soil in good condition and to obtain higher crops.

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