Ganga River Water Assessment Using Deep Neural Network: A Study

Chunnu Lal, Satender Kumar
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引用次数: 1

Abstract

In this study, we find that two types of studies available on Ganga River Water Quality Forecasting based on Neural Networks. One Study based on Remote Sensing (RS), In which Water Quality Parameters (WQPs) are calculated from satellite images. Another Study based on WQPs collected by laboratories or stations established by Government of different states in India. We will provide the detail analysis of these two types of studies & their finding till now available in various research papers. Research will be continuing in the field of Deep Learning (DL) and Machine Learning (ML), many different ML &DL systems are available currently. Based on the findings of this study we establish a Method for effective assessment of Water Quality.
基于深度神经网络的恒河水质评价研究
在本研究中,我们发现基于神经网络的恒河水质预测研究可分为两类。基于卫星图像计算水质参数的遥感研究。另一项基于印度不同邦政府建立的实验室或监测站收集的WQPs的研究。我们将详细分析这两种类型的研究&他们的发现,直到现在可以在各种研究论文。深度学习(DL)和机器学习(ML)领域的研究将继续进行,目前有许多不同的ML和DL系统可用。在此基础上,建立了一种有效的水质评价方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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