系统工程理论与实践
繫統工程理論與實踐
계통공정이론여실천
Systems Engineering—Theory & Practice
2007年
4期
114~119
,共null页
神经网络 遗传算法 小波分析 智能决策 组件技术
神經網絡 遺傳算法 小波分析 智能決策 組件技術
신경망락 유전산법 소파분석 지능결책 조건기술
neural network; genetic algorithm; wavelet transformation ; intelligent decision; component technology
针对现有决策支持系统存在信息支持不足、专家知识难以获取与表示、从海量数据提取有用信息存在困难等问题,通过对已有的人工神经网络、小波分析、遗传算法的建模方法进行组合利用和加以改进,建立组合智能信息处理器,并将之与传统决策支持系统相结合,产生智能决策支持系统,进行知识自动提取和系统智能建模,并基于GIS平台利用组件技术搭建智能决策支持系统集成结构.最后以灌区水资源管理决策支持系统的径流预报为例,进行仿真试验,验证方案的可行性和有效性.
針對現有決策支持繫統存在信息支持不足、專傢知識難以穫取與錶示、從海量數據提取有用信息存在睏難等問題,通過對已有的人工神經網絡、小波分析、遺傳算法的建模方法進行組閤利用和加以改進,建立組閤智能信息處理器,併將之與傳統決策支持繫統相結閤,產生智能決策支持繫統,進行知識自動提取和繫統智能建模,併基于GIS平檯利用組件技術搭建智能決策支持繫統集成結構.最後以灌區水資源管理決策支持繫統的徑流預報為例,進行倣真試驗,驗證方案的可行性和有效性.
침대현유결책지지계통존재신식지지불족、전가지식난이획취여표시、종해량수거제취유용신식존재곤난등문제,통과대이유적인공신경망락、소파분석、유전산법적건모방법진행조합이용화가이개진,건립조합지능신식처리기,병장지여전통결책지지계통상결합,산생지능결책지지계통,진행지식자동제취화계통지능건모,병기우GIS평태이용조건기술탑건지능결책지지계통집성결구.최후이관구수자원관리결책지지계통적경류예보위례,진행방진시험,험증방안적가행성화유효성.
In order to solve the current main problems of Decision-Making Support System (DSS), such as shortage of enough information resources support, difficulties in obtaining and expressing the expert knowledge , trouble of extracting useful information from mass isomeric data and so on , we have developed the combined intelligent information processor based on recombining and improving the traditional modeling methods including artificial neural network(ANN), wavelet transformation(WT), genetic algorithm( GA).
In addition , an intelligent DDS is established by integrating the combined intelligent information processor with DSS, which can extract out useful knowledge and information from mass database management system automatically and build intelligent modeling system.
Furthmore, based on the GIS platform, the integration of all module in the intelligent DDS is completed using component technology, and the integrated scheme is described clearly in this paper. The example of combinatorial intelligentized DSS is given for the water resources management DSS in a irrigation catchment, including main interfaces based on GIS and the simulation results of rainfall-runoff forecasting module.