期刊名称：International Journal of Computer Networks and Applications (IJCNA)
电子版ISSN：2395-0455
出版年度：2017
卷号：4
期号：3
页码：77-83
语种：English
出版社：EverScience Publications
摘要：Water is the essential element of life, and not only its quantity but also the quality is a vital issue. In modern Lebensraum, the quality of water is ensured by the authorities. In this study, an artificial neural network-based water quality prediction system which relies on data collection through a wireless water quality monitoring network is proposed, and the effects of measurement interval on the prediction accuracy are investigated. In the proposed system, water quality parameters are collected at specified time-intervals and fed into the artificial neural network-based prediction system. The proposed system provides authorities a valuable tool to predict groundwater quality and thereby enables the authorities to take immediate actions for ensuring water quality. With a set of experimental studies, the efficiency and accuracy of the proposed system and the effects of measurement interval on the prediction performance are proved.
