期刊名称：International Journal of Soft Computing & Engineering
电子版ISSN：2231-2307
出版年度：2016
卷号：6
期号：3
页码：55-59
出版社：International Journal of Soft Computing & Engineering
摘要：In this work, the reservoir water level has beenpredicted using one of the soft computing techniques namedArtificial Neural Network. The reservoir water level is influencedby many parameters. Among which the most influencingparameters have been considered here: amount of rainfall,temperature and evaporation. For this analysis, the reservoirmade on Shetrunji River Dam in Dhari, Amreli district, Gujarat,India has been chosen as it was overflown seven times in last tenyears. This shows the importance of water level prediction at thisparticular reservoir. The Neural Network is trained using the pastdata collected and further used to predict water level for theunknown data. The approach of the multiple regression is alsoshown for its comparison with the Soft computing approach.Computations and experimental works were done byprogramming in software MATLAB. Such modeling is useful forplanning and decision making of opening gates for reservoiroperation particularly during monsoon and water scarcity.
关键词：Soft Computing; Artificial Neural Network;Regression; Back Propagation Algorithm; Reservoir water level;Prediction
