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Hybrid Artificial Neural Network-Geostatistics Model for Urban Water Consumption Prediction. A Case Study: Osku City

کلیدواژه: Prediction,Water Consumption,Hybrid Model,Artificial Neural Network,Geostatistic,Osku City

نویسندگان: Goli Ejlali R.

ناشر: آب و فاضلاب - Water and Wastewater

The prediction of water Consumption in urban basins is of immense importance for the management of water resources, especially in arid and semiarid countries. The lack of strong predictive tools, or perhaps the lack of experienced users to those tools, may contribute to problems in data interpretati... ادامه

سال:2018

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Prediction of Fiscal Decentralization Considerring Energy Consumption and Environmental Effects: By using Hybrid Intelligent Models Optimization Algorithms

کلیدواژه: Fiscal decentralization, Artificial neural network, Energy consumption

نویسندگان: Anvari Ebrahim, Jafari Elham, Farazmand Hassan, Montazer Hojet Amir Hossein

ناشر: اقتصاد باثبات - Stable Economy Journal

Fiscal decentralization refers to the transfer of responsibility and authority of revenue and spending decisions from the central government to lower levels. In recent years, with the increase in energy Consumption, global warming, carbon emissions, and climate change, the issue of fiscal decentrali... ادامه

سال:2024

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Investigation on the Effect of the Moderate Consumption on the Poverty Alleviation in the Family Based on Interdisciplinary Studies

کلیدواژه: interdisciplinary studies,Islamic life style,moderate consumption,poverty alleviation,Islamic economy

نویسندگان: Najafi marjan, Lessani Fesharaki Mohammad Ali

ناشر: مطالعات میان رشته ای در علوم انسانی - INTERDISCIPLINARY STUDIES IN THE HUMANITIES (IRANIAN JOURNAL OF CULTURAL RESEARCH)

The holy Quran as the eternal miracle of the prophet of Islam (PBUH) requires an accurate understanding, in order to receive human life approaches which are not possible except through interdisciplinary studies. On the one hand humanistic sciences such as economy have not gained full credit and succ... ادامه

سال:2018

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