Prediction on Fozen Period of Inner Mongolia Sction in Yellow River Based on an Artificial Neural Network Model

摘要：

In order to analyze ice historical material of Inner Mongolia .know formation laws of ice flood, timely and accurately forecast the occurrence and development of ice, the frozen period forecast model of Inner Mongolia is established with the principle of artificial neural network, Focusing on the BaYanGaoLe, SanHuHeKou and TouDaoGuai, the specific frozen period of river ice are forecasted. As a result, the manners provide theoretical support and technical parameters for improving ice disaster monitoring techniques and conditions forecast At the same time, the information offers more detailed support to decision maker.

关键词： neural network prediction frozen period Yellow River

作者: Zhang xiaohua Deng Yu

作者单位: Yellow River Institute of Hydraulic Research Research Center on Levee Safety Disaster Prevention Zhengzhou, china

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer Engineering and Applications(2011第三届计算机工程与应用国际会议 ICCEA2011)

会议地点: 海口

会议语种:英文

页码: 467-469

在线出版日期: 2011-07-15（万方平台首次上网日期，不代表论文的发表时间）