RESEARCH ON THE VOLUME WEIGHT OF FOAMED COMPOSITES BASED ON BRICK WASTE USING NEURAL NETWORKS
Published: 1 July 2022
Azerbaijan Journal of High Performance Computing , Volume 5, pp 87-93; https://doi.org/10.32010/26166127.2022.5.1.87.93
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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