DocumentCode
144778
Title
Research on neural network based debris flow prediction
Author
Zhang Wenjiang ; He Zhengwei
Author_Institution
Coll. of Earth Sci., Chengdu Univ. of Technol., Chengdu, China
Volume
2
fYear
2014
fDate
26-28 April 2014
Firstpage
1241
Lastpage
1243
Abstract
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.
Keywords
backpropagation; neural nets; BP neural network; artificial neural network; learning algorithm; network structure; neural network based debris flow prediction; Artificial neural networks; Educational institutions; Predictive models; Rocks; Solids; causes of debris flow formation; debris flow; neural network; prediction;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science, Electronics and Electrical Engineering (ISEEE), 2014 International Conference on
Conference_Location
Sapporo
Print_ISBN
978-1-4799-3196-5
Type
conf
DOI
10.1109/InfoSEEE.2014.6947868
Filename
6947868
Link To Document