A DSS for Oil Spills Based on ANN
This paper present a methodology for developing oil spill emergency Decision Support System (DSS) based on Artificial Neural Network (ANN).The network architecture of the ANN is introduced.Then the development process and key technologies are addressed.The procedures are as follows: (1) digitization (coding) of case information and emergency measures;(2) construction of oil spill ANN;and (3) translation (decoding) of decision-making information.The training features,time,errors,accuracy,and input attribute weights of the developed system are analyzed.The research work shows that: oil spill decision support systems based on ANN technology is effective,which can generate emergency plans quickly and accurately to meet the requirements of an oil spill on-site.
Oil Spill Environmental Emergency Decision Support System Artificial Neural Network
Zhenliang Liao Xiaowei Xia
Key Lab of Yangtze River Water Environment,Tongji University Shanghai, China
国际会议
兰州
英文
1-4
2012-10-19（万方平台首次上网日期，不代表论文的发表时间）