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RESEARCH ON THE VOLUME WEIGHT OF FOAMED COMPOSITES BASED ON BRICK WASTE USING NEURAL NETWORKS

Araz Aliev, Azerbaijan State Oil and Industry University, Yunis Gahramanli, Samir Aliyev, Institute of Mathematics and Mechanics of Ministry of Science and Education of the Republic of Azerbaijan

Abstract: This paper described the opportunity to use artificial neural networks to predict the chemical reaction result under given conditions. Applied three layers neural network for prediction of the mass content of alkaline trained using the results of the chemical reactions. As inputs were used values of the chemical quantities before the reaction and output values of the chemical quantities after the reaction. HPC technologies and multi-worker technology were used for accurate results.
Keywords: artificial neural networks / output / worker / inputs / HPC / FOAMED / WASTE / BRICK / chemical quantities

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