干旱区生态环境知识资源中心(Arid): Assessment of Groundwater Potential Using Neural Network: A Case Study

Arid

DOI	10.1007/978-981-15-1084-7_63
	Assessment of Groundwater Potential Using Neural Network: A Case Study
	Samantaray, Sandeep; Sahoo, Abinash; Ghose, Dillip K.
通讯作者	Samantaray, S (corresponding author), NIT Silchar, Dept Civil Engn, Silchar, Assam, India.
会议名称	3rd International Conference on Intelligent Computing and Communication (ICICC)
会议日期	JUN 07-08, 2019
会议地点	Dayananda Sagar Univ, Sch Engn, Bengaluru, INDIA
英文摘要	To properly utilize and manage exploitation of groundwater, application of recent methods is very much crucial to prepare an organized arrangement for protecting this valuable but dwindling natural resource. Groundwater potential was scrutinized by applying neural network models namely back-propagation neural network (BPNN) and Radial basis function network (RBFN) in Balangir watershed, India. The groundwater fluctuation is powerfully associated to hydrological elements, and therefore this relation allows groundwater potential mapping from hydrological elements by help of BPNN and RBFN model to simulate groundwater fluctuations. Also, multiple linear regressions (MLR) are used for observing the relationship amid reliant variable, i.e., depth of water table and free variable, i.e., the hydrogeological factors considered in this study. Three different types of transfer function tan-sig, log-sig are applied for comparing outcomes of the models for predicting fluctuation of groundwater. Results of present study show the supremacy of BPNN model than RBFN model for predicting groundwater potential.
英文关键词	BPNN RBFN Water table depth Arid region
来源出版物	INTELLIGENT COMPUTING AND COMMUNICATION, ICICC 2019
ISSN	2194-5357
EISSN	2194-5365
出版年	2020
卷号	1034
页码	655-664
ISBN	978-981-15-1084-7; 978-981-15-1083-0
出版者	SPRINGER-VERLAG SINGAPORE PTE LTD
类型	Proceedings Paper
语种	英语
收录类别	CPCI-S
WOS记录号	WOS:000659665100063
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Cybernetics ; Imaging Science & Photographic Technology
WOS研究方向	Computer Science ; Imaging Science & Photographic Technology
资源类型	会议论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/353132
作者单位	[Samantaray, Sandeep; Sahoo, Abinash; Ghose, Dillip K.] NIT Silchar, Dept Civil Engn, Silchar, Assam, India
推荐引用方式 GB/T 7714	Samantaray, Sandeep,Sahoo, Abinash,Ghose, Dillip K.. Assessment of Groundwater Potential Using Neural Network: A Case Study[C]:SPRINGER-VERLAG SINGAPORE PTE LTD,2020:655-664.