Provide an intelligent model for municipal waste management

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Khosravi Moghaddam Ali; Shayannia Seyed Ahmad; Movahedi Mohammad Mehdi; Azizi Khosrow

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Geography (Regional Planning) Year:2021 | Volume:11 | Issue:45 Page(s): 19-30

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Information Journal Paper

Title

Provide an intelligent model for municipal waste management

Author(s)

Khosravi Moghaddam Ali | Shayannia Seyed Ahmad | Movahedi Mohammad Mehdi | Azizi Khosrow | Issue Writer Certificate

Keywords

Waste ManagementQ4

Neural NetworkQ4

Urban WasteQ4

Abstract

At the end of the 20th century, the trend towards Waste Management was the turning point of industrial and technological development programs in most countries of the world. The aim of the present research is to provide an intelligent model for Waste Management in the city of Tehran. The method used in this research is the Neural Network technique, based on which it is possible to predict waste production in different areas of Tehran. The research method of the current research is descriptive and analytical, and the area under study is Tehran city, and the analysis method is the Neural Network technique. A Neural Network with a single hidden layer was used to predict the residual. The sigmoid tangent activation function is used for the hidden layers of the network. Finally, it was concluded that the Neural Network method for predicting the waste of Tehran city is more efficient compared to other methods including the quantum method in some areas, and at the end practical suggestions were presented.

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