检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:常方乐 康孟珍[1,3] 王秀娟[1,3] 雷加强[4] 王飞跃[1,3,5] CHANG Fangle;KANG Mengzhen;WANG Xiujuan;LEI Jiaqiang;WANG Fei-Yue(The State Key Laboratory of Management and Control for Complex Systems,Institute of Automation,Chinese Academy of Sciences,Beijing 100190,China;Ningbo Research Institute,Zhejiang University,Ningbo 315000,China;Beijing Engineering Research Center of Intelligent Systems and Technology,Institute of Automation,Chinese Academy of Sciences,Beijing 100190,China;Xinjiang Institute of Ecology and Geography,Chinese Academy of Sciences,Urumqi 830011,China;School of Artificial Intelligence,University of Chinese Academy of Sciences,Beijing 100049,China)
机构地区:[1]中国科学院自动化研究所复杂系统管理与控制国家重点实验室,北京100190 [2]浙江大学宁波研究院,浙江宁波315100 [3]中国科学院自动化研究所北京智能技术工程研究中心,北京100190 [4]中国科学院新疆生态与地理研究所,新疆乌鲁木齐830011 [5]中国科学院大学人工智能学院,北京100049
出 处:《智能科学与技术学报》2021年第4期499-506,共8页Chinese Journal of Intelligent Science and Technology
基 金:国家自然科学基金资助项目(A类);中国科学院战略性先导科学专项(A类)(No.XDA20030102);中国科学院与泰国科技发展署合作研究项目(No.GJHZ2076)
摘 要:针对风沙防护治理系统难以建模、难以解析预测等问题,以塔克拉玛干沙漠公路及其防沙体系为研究对象,提出平行智能风沙防护治理决策支持系统。基于防沙专家常年积累的经验知识,结合实际系统风沙环境信息,模拟风沙防护治理过程,构建沙漠公路防沙体系人工系统;基于计算实验,评估防沙体系人工系统的防沙效果,通过与实际系统进行比较与学习,对系统进行评估与校准;基于平行智能理论,分析风沙防护治理决策支持系统,实现人工系统与实际系统的相互学习、相互借鉴,为风沙防护治理提供决策支持,促进风沙环境可持续化发展。Using Taklimakan desert highway and its sand-breaking system as the research object for complex system management and control,the ACP-based parallel intelligence theory to deal with the problems of the difficulty in modeling,analyzing,and predicting of sand-breaking system was applied,to realize the intelligent decision support for sand-breaking system management and control,support the sustainable development of aeolian environment.The expert experience knowledge to construct the artificial desert highway sand-breaking system was extracted by simulating physical process.The sand-control efficiency index of the artificial system was calculated using equations,then evaluated and modified by comparing and learning with the actual system.Using parallel intelligent theory,the artificial system and the actual system can learn from each other to provide decision support for sand control.
分 类 号:TP18[自动化与计算机技术—控制理论与控制工程]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.40