中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Prediction of brine evaporation rate based on response surface methodology and artificial neural network

文献类型:期刊论文

作者Li, Zhiwei; Fu, Zhenhai; Li, Chengbao; Zhao, Dongmei; Zhang, Yongming; Ma, Yanfang; Zhang, Zhihong
刊名DESALINATION AND WATER TREATMENT
出版日期2021-08
卷号231页码:143-151
ISSN号1944-3994
DOI10.5004/dwt.2021.27508
英文摘要In this study, a Box-Behnken design was carried out to investigate the effects of radiation intensity, environment temperature, relative humidity, brine temperature, wind speed and brine concentration on the brine evaporation rate. The predictive abilities of response surface methodology and artificial neural networks were compared. The results showed that root mean square error for new data by the response surface method and artificial neural network models is 0.265 and 0.125, respectively; whereas the coefficient of determination is 0.773 and 0.940, respectively; and the standard error of prediction is 29.26% and 13.77%, respectively. It indicating that the artificial neural network model has much higher modeling abilities and generalization abilities than the response surface methodology model. Thus, the artificial neural network model is much more stable and accurate to be used in predicting brine evaporation rate in comparison to the response surface methodology model.
源URL[http://ir.isl.ac.cn/handle/363002/34355]  
专题青海盐湖研究所_盐湖资源与化学实验室
推荐引用方式
GB/T 7714
Li, Zhiwei,Fu, Zhenhai,Li, Chengbao,et al. Prediction of brine evaporation rate based on response surface methodology and artificial neural network[J]. DESALINATION AND WATER TREATMENT,2021,231:143-151.
APA Li, Zhiwei.,Fu, Zhenhai.,Li, Chengbao.,Zhao, Dongmei.,Zhang, Yongming.,...&Zhang, Zhihong.(2021).Prediction of brine evaporation rate based on response surface methodology and artificial neural network.DESALINATION AND WATER TREATMENT,231,143-151.
MLA Li, Zhiwei,et al."Prediction of brine evaporation rate based on response surface methodology and artificial neural network".DESALINATION AND WATER TREATMENT 231(2021):143-151.

入库方式: OAI收割

来源:青海盐湖研究所

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