Artificial Neural Network and its Application Research Progress in Distillation
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Abstract (arXiv)
Artificial neural networks learn various rules and algorithms to form different ways of processing information, and have been widely used in various chemical processes. Among them, with the development of rectification technology, its production scale continues to expand, and its calculation requirements are also more stringent, because the artificial neural network has the advantages of self-learning, associative storage and high-speed search for optimized solutions, it can make high-precision simulation predictions for rectification operations, so it is widely used in the chemical field of rectification. This article gives a basic overview of artificial neural networks, and introduces the application research of artificial neural networks in distillation at home and abroad.
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References · 4
- 2017Distributionally Robust Games: f-Divergence and Learningcited by 5
- 2020Neural network algorithm and its application in reactive distillationcited by 1
- 2021Study on the simulation control of neural network algorithm in thermally coupled distillationcited by 1
- 2021Application of Neural Network Algorithm in Propylene Distillationcited by 1
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