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• W2183670089 abstract "Several simulation methods were used for simulating water quality status of river. An adaptive neuro fuzzy inference system (ANFIS), artificial neural networks (ANN) were developed to simulate concentration dissolved oxygen (DO) for twelve months at Khoram-Abad River station in Khoram-Abad Province-Iran. This paper will present a comprehensive case study based on key input parameters such as river flow, reach distance, velocity of stream, dissolved oxygen of soluble water at the last n station (ܦ ௡ ), water temperature, width of water surface, depth of flow which is collected at above mentioned station. The purpose of this paper is to study and illustrate the several errors correlation coefficient ( ଶ ), root mean square error (RMSE),normalized mean square errors (NMSE) and mean absolute percentage error" @default.
• W2183670089 created "2016-06-24" @default.
• W2183670089 creator A5079491429 @default.
• W2183670089 creator A5080122967 @default.
• W2183670089 date "2013-01-01" @default.
• W2183670089 modified "2023-09-27" @default.
• W2183670089 title "The Study of Artificial Neural Network (ANN) Efficiency with Neuro-Fuzzy Inference System (ANFIS) in Dissolved oxygen Simulation of River Water" @default.
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• W2183670089 hasPublicationYear "2013" @default.
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