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基于过程神经元网络的中国油气资源可持续发展能力评价
引用本文:杨晓龙,刘希宋. 基于过程神经元网络的中国油气资源可持续发展能力评价[J]. 哈尔滨工业大学学报(社会科学版), 2006, 8(5): 58-63
作者姓名:杨晓龙  刘希宋
作者单位:1. 大庆石油学院,黑龙江,大庆,163318
2. 哈尔滨工程大学,经济管理学院,哈尔滨,150001
摘    要:近年来,随着国内油气需求的迅速增长,随着石油对外依存度的逐年扩大和石油价格的持续高走,国内关于油气资源可持续发展的研究日益受到政府和专家学者的高度重视.油气资源可持续发展能力不仅关系我国能源的可持续发展,也直接关系到国家经济、社会的可持续发展.在构建油气资源可持续发展能力评价指标体系的基础上,首次将过程神经元网络与遗传算法相结合,建立了油气资源可持续发展能力评价模型,并对中国2001-2005年油气资源的持续发展现状进行了评价,最后提出了实现中国油气资源可持续发展的政策建议.

关 键 词:过程神经元网络  油气资源  可持续发展  综合评价
文章编号:1009-1971(2006)05-0058-06
修稿时间:2006-04-20

An Evaluation of Sustainable Development of Oil and Gas Resource Based on Process Neural Networks
YANG Xiao-long,LIU Xi-song. An Evaluation of Sustainable Development of Oil and Gas Resource Based on Process Neural Networks[J]. Journal of Harbin Institute of Technology(Social Sciences Edition), 2006, 8(5): 58-63
Authors:YANG Xiao-long  LIU Xi-song
Abstract:With the increase of the demand of oil and gas in China these years,and with the dependence of foreign oil and the appreciation of oil price,the study of sustainable development of oil and gas resource is highly regarded by China government and experts.The capacity of sustainable development of oil and gas resource will not only affect the sustainable development of our energy resource,but will also influence the sustainable development of the economy and the society in China.Based on making up an evaluation system for the capacity of oil and gas sustainable development,this paper first combines the process neural networks and the genetic arithmetic to sets up a model of the evaluation of the capacity of oil and gas sustainable development,appraises the statues of oil and gas sustainable development from the year 2001 to 2005,and finally proposes the policy of the achieving China oil and gas sustainable development.
Keywords:process neural networks  oil and gas resource  sustainable development  general evaluation
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