DocumentCode :
575808
Title :
Application of fuzzy neural network to safety evaluation for oil depot
Author :
Yi, Yang ; Chengping, Zhu ; Jun, Xing
Author_Institution :
Aviation Fuel & POL Equip. Test Center, Beijing, China
Volume :
1
fYear :
2012
fDate :
20-21 Oct. 2012
Firstpage :
55
Lastpage :
58
Abstract :
Because the traditional comprehensive scoring method and linear weighted method of safety evaluation are easily influenced by subjective factors of evaluation personnel and the uncertain factors of evaluated system, in this paper the fuzzy theory and artificial neural network techniques are combined to evaluate and analyze the safety status of oil depot. A fuzzy neural network evaluation model based on three layer neuron is built. Through the sample training, experience and intuition thinking of evaluation expert are accessed. An application result in practical engineering showed that this method reduced the wrong impact of human factors in evaluating process and ensured the objectivity of evaluation results.
Keywords :
fuel storage; fuzzy neural nets; occupational safety; personnel; production engineering computing; artificial neural network; evaluation expert; evaluation personnel; fuzzy neural network; fuzzy theory; human factors; intuition thinking; linear weighted method; oil depot; safety evaluation; Biological neural networks; Fuzzy neural networks; Indexes; Knowledge engineering; Neurons; Safety; Training; BP algorithm; fuzzy neural network; oil depot; safety evaluation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Science, Engineering Design and Manufacturing Informatization (ICSEM), 2012 3rd International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4673-0914-1
Type :
conf
DOI :
10.1109/ICSSEM.2012.6340765
Filename :
6340765
Link To Document :
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