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Information Journal Paper

Title

FORECASTING THE COST OF WATER USING A NEURAL NETWORK METHOD IN THE MUNICIPALITY OF ISFAHAN

Pages

  73-85

Abstract

 Decision making on budgeting is one of the most important issues for executing managers. Budgeting is a major tool for planning and control of projects. In public and non-profit organizations and institutions, estimating the costs and revenues plays an important role in receiving credit and budgeting. In this regard, in the present paper the case of ISFAHAN MUNICIPALITY is considered. One of the main expenditures of the 14 districts of Isfahan is the costs related to water. Predicting the total COST OF WATER helps the municipality of Isfahan to optimize the water use in its 14 urban zones. Thus, in this study the total COST OF WATER in the districts of Isfahan is estimated using regression analysis and neural network models. Then the results of the methods are compared with each other to minimize the deviations from the approved budget. Finally, the neural network method is selected as the main simulation method for FORECASTING the total COST OF WATER in the districts of Isfahan.

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    Cite

    APA: Copy

    MOHAMMADZADEH, AMIR, MAHDIPOUR, NASRIN, & MOHAMMADZADEH, ARASH. (2012). FORECASTING THE COST OF WATER USING A NEURAL NETWORK METHOD IN THE MUNICIPALITY OF ISFAHAN. JOURNAL OF OPTIMIZATION IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING), 6(2 (11)), 73-85. SID. https://sid.ir/paper/622651/en

    Vancouver: Copy

    MOHAMMADZADEH AMIR, MAHDIPOUR NASRIN, MOHAMMADZADEH ARASH. FORECASTING THE COST OF WATER USING A NEURAL NETWORK METHOD IN THE MUNICIPALITY OF ISFAHAN. JOURNAL OF OPTIMIZATION IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING)[Internet]. 2012;6(2 (11)):73-85. Available from: https://sid.ir/paper/622651/en

    IEEE: Copy

    AMIR MOHAMMADZADEH, NASRIN MAHDIPOUR, and ARASH MOHAMMADZADEH, “FORECASTING THE COST OF WATER USING A NEURAL NETWORK METHOD IN THE MUNICIPALITY OF ISFAHAN,” JOURNAL OF OPTIMIZATION IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING), vol. 6, no. 2 (11), pp. 73–85, 2012, [Online]. Available: https://sid.ir/paper/622651/en

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