The Application of a Hybrid Model of EDBD Algorithms and Grey Relational Analysis: A Solution for Knockout Poor Quality of Water Reservoirs

Abstract

Water quality for life on earth can hardly be underestimated. One of the ways to maintain water quality is to develop an effective water management strategy. The goal of this paper provides a feasible solution for evaluation the quality of dams. The entire study can be broken into two stages. In the first stage, it is decided to analyze the importance of input parameters. A hybrid model of considering a back propagation neural network with EDBD algorithm will be used to find the Relative Importance of each input parameter. Then, Relative Importance was considered as different weights. In the second stage, the grey relational analysis and those weights were used to find the behavior of quality on the reservoirs.