Optimization of Process Control Parameters for Fully Mechanized Mining Face Based on ANN and GA

In the traditional optimization mathod, the process control parameters for fully mechanized mining face are determined by experts or technicians based on their own experience, which is lack of scientific basis, and need long production adjustment cycle. It is cause large loss, and not conducive to i...

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Vydané v:	Computational intelligence and neuroscience Ročník 2021; číslo 1; s. 5557831
Hlavní autori:	Zhao, Hongze, Xu, Zhihai, Li, Qi, Pan, Tao
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Hindawi 2021 John Wiley & Sons, Inc
Predmet:	Algorithms Analysis Artificial neural networks Automation Chain conveyors Chains Coal mines Coal mining Conveying machinery Cooperation Cost function Efficiency Entropy (Information theory) Expected values Friction stir welding Genetic algorithms Hydraulics Industrial production Learning theory Mean square errors Mineral industry Mining industry Neural networks Optimization Process controls Process parameters Production capacity China
ISSN:	1687-5265, 1687-5273, 1687-5273
On-line prístup:	Získať plný text
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