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- W2355910865 abstract "Forecasting of water quality variation is not an easy process due to the complicated nature of various water quality factors and their interrelationships. The objective of this study is to test the applicability of neural network models to the forecasting of the water quality at Dalchun station in Han River. Input data is consist of monthly data of concentration of DO, BOD, COD, SS and river flow. And this study selected optimal neural network model through changing the number of hidden layer based on input layer(n) from n to 6n. After neural network theory is applied, the models go through training, calibration and verification. The result shows that the proposed model forecast water quality of high efficiency and developed web-based water quality forecasting system after extend model" @default.
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- W2355910865 date "2007-01-01" @default.
- W2355910865 modified "2023-09-23" @default.
- W2355910865 title "Construction of System for Water Quality Forecasting at Dalchun Using Neural Network Model" @default.
- W2355910865 hasPublicationYear "2007" @default.
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