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
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;
Conference_Titel :
Information Science, Electronics and Electrical Engineering (ISEEE), 2014 International Conference on
Conference_Location :
Sapporo
Print_ISBN :
978-1-4799-3196-5
DOI :
10.1109/InfoSEEE.2014.6947868
