Application of Neural Network Technologies for Forecasting the Parameters of Spring High Waters

摘要：

The article deals with the problems of utilization of neural networks for creating the models of the spring flood parameters forecasting. The main attention is paid to the accuracy of forecasting at the expense of utilization of special algorithms for preliminary processing of incoming information and creating of the complex structure models which consider the specific of processes taking place in the drainage-basin of a rivtr in the period of the spring flood.

作者: N.N. Krasnogorskaia (A).(I).Gantseva

作者单位: Aircraft Technical University,Chair: Production Safety and Industrial Ecology,Ufa, Republic of Bas Aircraft Technical University, Chair: Production Safety and Industrial Ecology, Ufa, Republic of B

会议类型: 国际会议

会议名称: 8th International Conference on Neural Information Processing(ICONIP 2001)(第八届国际神经信息处理大会)

会议地点: 上海

会议语种:英文

页码: 816-818

在线出版日期: 2001-11-14（万方平台首次上网日期，不代表论文的发表时间）