Research on Neural Network Based Debris Flow Prediction

被引：0

作者：

Zhang Wenjiang ^{[1
]}

He Zhengwei ^{[1
]}

机构：

[1] Chengdu Univ Technol, Coll Earth Sci, Chengdu 610059, Peoples R China

来源：

2014 INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE, ELECTRONICS AND ELECTRICAL ENGINEERING (ISEEE), VOLS 1-3 | 2014年

关键词：

neural network; debris flow; prediction; causes of debris flow formation;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The significance of debris flow prediction and its present situation are discussed. The advantages of artificial neural network in debris flow prediction are also explained. Then, the debris flow prediction model which is based on BP neural network is constructed. Detailed discusses on how to get the input factors, the network structure, the node number of each layer of debris flow prediction are provided. And the learning algorithm is listed in the paper also.

引用

页码：1240 / 1242

页数：3