Study on an Optimal Experimental Method for a Large-scale System and the Application in Complex Irrigation Works Systems

摘要：

On the basis of optimal experimental methods for complex systems of multidimensional dynamic programming,linear programming,nonlinear programming and complex simulating system and so on,adopting knowledge models,mathematical models and experimental optimization.This paper presents the theory of experimental optimization for a large-scale system and methods;provides more convenient construct the experimental factor-level table with neural network methods.The application gets good results in optimal design of the canal and cascade pumping station system,distribution pipe network,conjunctive use of ground water and surface water and optimal planning of irrigational districts etc..

关键词： large-scale system experimental optimization mathematical model agricultural water-soil engineering

作者: Cheng Jilin Jin Zhaosen Shen Jie Zhang Libin Jiang Xiaohong Qiu Jinxian

作者单位: Yangzhou University,Jiangsu,Yangzhou,225009,China Yangzhou University,Jiangsu,Yangzhou,225009,China Hefei University of Technology,Anhui,Hefei,230009,China

会议类型: 国际会议

会议名称: International Conference on Effective Utilization of Agricultural Soil & Water Resources and Protection of Environment and the 4th Annual Academic Conference of Chinese Society of Agricultural Soil and Water Engineering

会议地点: 南京

会议语种:英文

页码: 425-434

在线出版日期: 2006-08-16（万方平台首次上网日期，不代表论文的发表时间）