2019
DOI: 10.1051/e3sconf/201911803007
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Analysis of Key Elements of Emergency Response Ability of Hazardous Chemicals Based on AHP Method

Abstract: A evaluation system was constructed and each weight of the indexes was calculated based on the principle of AHP (Analytic Hierarchy Process), which were benefit of safety and sustainable development of chemical enterprise, emergency response capacity, accidents numbers and property losses The results show that emergency prevention capability and emergency preparedness capability are the key elements in the first-level indicator system. The plan initiation, drill, hazard source control and monitoring and early … Show more

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“…In order to determine the fast and accurate training function, this research used BP neural network toolbox of MATLAB software to experiment the above five training functions and then compared the training results to choose. According to the previous principal component analysis (PCA), five input neurons have been identified, named P 1 , P 2 , P 3 , P 4 , and P 5 , and only one output neuron which was “comprehensive score.” From the above empirical formula, it could be known that the number of hidden layer neurons should be selected between [ 4 , 13 ], and it was temporarily determined to be 9. The number of iterations and convergence accuracy were used as the evaluation indicators for the training function selection.…”
Section: Implementation Of Bp Neural Networkmentioning
confidence: 99%
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“…In order to determine the fast and accurate training function, this research used BP neural network toolbox of MATLAB software to experiment the above five training functions and then compared the training results to choose. According to the previous principal component analysis (PCA), five input neurons have been identified, named P 1 , P 2 , P 3 , P 4 , and P 5 , and only one output neuron which was “comprehensive score.” From the above empirical formula, it could be known that the number of hidden layer neurons should be selected between [ 4 , 13 ], and it was temporarily determined to be 9. The number of iterations and convergence accuracy were used as the evaluation indicators for the training function selection.…”
Section: Implementation Of Bp Neural Networkmentioning
confidence: 99%
“…The number of hidden layer neurons can be determined one by one [ 4 , 13 ] through experiments. The number of training sessions was set to 1000, and the target accuracy was set to 0.00001.…”
Section: Implementation Of Bp Neural Networkmentioning
confidence: 99%
See 1 more Smart Citation