The safety evaluation of management in chemical enterprise with generalized regression neural network

2019 5th International Conference on Energy Materials and Environment Engineering

能源学;生态环境科学

Yuan, Y.^1 ; Zhou, X.^2^3 ; Man, J.^4 ; Jiao, H.^1 ; Jiang, Q.^1 ; Xu, Q.^1 ; Kong, S.^1 ; Gao, W.^1

School of Safety Engineering, Ningbo University of Technology, Ningbo, Zhejiang

315211, China^1

School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan, Hubei

430070, China^2

School of Resources and Environmental Engineering, Wuhan University of Technology, Wuhan, Hubei

430070, China^3

Ningbo Liwah Pharmaceutical Co., Ltd., Zhenhai Branch, Ningbo, Zhejiang

315204, China^4

关键词: Back propagation neural networks;    Chemical enterprise;    Generalized regression neural networks;    Radial basis function neural networks;    Safety evaluations;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/295/4/042010/pdf
DOI  :  10.1088/1755-1315/295/4/042010

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

In order to better evaluate chemical enterprises, artificial neural networks including the back-propagation neural network, radial basis function neural network and generalized regression neural network were used in this paper. The management in chemical enterprise was evaluated. The expert scores and evaluation values are analyzed. The results show that the generalized regression neural network and the radial basis function neural network can better evaluate and predict the safety of chemical enterprises. The prediction of radial basis function neural network is more accurate.