摘要
针对水量应急调度的实际和机制,在应急调度过程中引入人工智能领域的事例推理技术,依据事例推理理论方法原理,构建了事例库,通过探讨事例的检索方法,应用遗传算法计算各属性的权重,构建了水量应急调度模型,并将该模型应用于渭河流域水量应急调度。计算结果表明,基于事例推理方法的水量应急调度具有快速性、科学性和可操作性,对于突发和应急事件,能够迅速确定应对方案。本模型可对未来的水资源管理和调度提供借鉴。
In view of the actual state and mechanisms of water emergent dispatch,a case-base reasoning technology was introduced and applied to the emergent events dispatch and decision making in this paper.According to the principle of case-base reasoning,the case database was built,the methods of case retrieval were discussed,and the genetic algorithm was applied to calculate the weight of case characteristic property.Finally,the case-base reasoning technology applied to emergent water dispatch of the Weihe River valley is discussed.The results indicate that the case-base reasoning method is applicable and operational for water emergent dispatch and decision making.
出处
《水利学报》
EI
CSCD
北大核心
2011年第9期1122-1128,共7页
Journal of Hydraulic Engineering
基金
国家863计划资助项目(2006AA01A126)
国家自然科学基金资助项目(50979088
51079120)
陕西省国际合作重点项目(2008KW-32)
陕西省教育厅2010年省级重点实验室项目(2010JS077)
关键词
应急调度
事例推理理论
事例检索
相似度
渭河
emergent water dispatch
case-based reasoning
case searching
degree of similarity
Weihe River
