A Novel Water Quantities Allocation Arithmetic in Water Management

摘要：

A water quantities allocation arithmetic was proposed, Radial basis function neural network (RBFNN) was designed, and simulated annealing arithmetic was adopted to adjust the network weights. MATLAB program was compiled;experiments on related data have been done employing the program. All experiments have shown that the arithmetic can efficiently approach the surface with 10-4 mm error precision, also the learning speed is quick and predictions is ideal. Trainings have been done with other networks in comparison. Back-propagation learning algorithm network does not converge until 2000 iterative procedure, and exactness design RBFNN is time-consuming and has big error. The arithmetic can approach nonlinear function by arbitrary precision, and also keep the network from getting into partial minimum.

关键词： water quantities allocation arithmetic RBFNN simulated annealing arithmetic water management

作者: CHEN Xu-sheng FAN De-cheng

作者单位: School of Management,Management Science and Engineering Postdoctoral Researcher Flow Station Harbin School of Economics and Management Harbin Engineering University Harbin,China

会议类型: 国际会议

会议名称: The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)

会议地点: 沈阳

会议语种:英文

页码: 309-313

在线出版日期: 2010-03-27（万方平台首次上网日期，不代表论文的发表时间）