THE PREDICTION MODEL OF WATER QUALITY ON THE BP ARTIFICIAL NEURAL NETWORK

被引：0
|
作者：
Yan, Cheng-Ming [1 ]
机构：
[1] Guangdong Polytech Water Resources & Elect Engn, Guangzhou, Guangdong, Peoples R China
来源：
ENERGY AND MECHANICAL ENGINEERING | 2016年
关键词：
Water quality; BP; Artificial neural network; ANN; The forecast model;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
BP neural network can achieve arbitrary nonlinear mapping of the input to the output, so it is extensively adopted in intelligent control, image recognition, hydrological predicting and water-resource quantity evaluation, etc., has stronger features of mapping, classification, functional fitting. This paper chooses the water quality of Lanzhou section of Yellow river as example by use of BP model to forecast the water quality. It is well verified that BP network model can reach the purposes of early warning and predicting.
引用
收藏
页码：250 / 256
页数：7
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