Application of Artificial Neural Networks for Chemical Industry Safety Production: A Review
Zhiqiang Liu *
East China University of Science and Technology, Shanghai 200237, China.
Qiuyue Hu
East China University of Science and Technology, Shanghai 200237, China.
*Author to whom correspondence should be addressed.
Abstract
Chemical industry as a national pillar industry, safety management is particularly important; Safety assessment is the use of relevant technologies to assess the risks in the production process of a company. The key is the selection of evaluation methods and means, which can directly influence the effect of the evaluation. However, since the object of chemical safety production evaluation is influenced by many factors, it is concerned with a non-linear relationship between cause and effect. Artificial neural network can make use of the threshold value between neuron nodes and the connection weight value between nodes based on artificial function to carry out non-linear mapping input and output in advance, which has obvious advantages in dealing with non-linear complex problems.
Keywords: Chemical production, artificial neural network (ANN), safety evaluation