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Development of Hybrid Bayesian Network Model for Multi-Hazards Risk Assessment of Irrigation Network

کلیدواژه: Risk Assessment,Agricultural Water System,Improper Performance of the Ditch-Riders,Operational Losses,Roodasht Irrigation Network

نویسندگان: BOZORGI ATIYEH, ROOZBAHANI ABBAS, HASHEMY SHAHDANY MEHDY

ناشر: تحقیقات آب و خاک ایران - Iranian Journal of Soil and Water Research

Since the majority of water resources is used for agricultural purposes, irrigation and drainage networks become important. Moreover, these networks are threatened by various natural and unnatural hazards that each one can affect the performance of the network. This research seeks to develop a risk ... ادامه

سال:2021

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The efficiency of Data-Driven Models for Months ahead Groundwater Level Forecasting Using a Hybrid Gamma test and Genetic Algorithm Model

کلیدواژه: Groundwater levels,Gamma Test,Artificial neural network,SVR,Genetic Algorithm

نویسندگان: mirarabi ali, Naseri Hamidreza, NAKHAEI MOHAMMAD, Alijani Farshad

ناشر: زمین شناسی کاربردی پیشرفته - ADVANCED APPLIED GEOLOGY

In order to implement sustainable groundwater resources management, it is necessary to model the behavior of groundwater level. Groundwater is a nonlinear and complex system which Data-driven models can be modeled this system without approximation and simplification. This study evaluates the perform... ادامه

سال:2018

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Prediction of Monthly River Flow Using Hybridization of Linear Time Series Models and Bayesian network (Case Study: Bakhtiari River)

کلیدواژه: Bayesian network,Input pattern,Model development,Stationary test

نویسندگان: AHMADI FARSHAD, VALINIA MIR MAHMOOD

ناشر: مدیریت آب و آبیاری - Journal of Water and Irrigation Management

One of the most important issues in water resources management is the preparation and development of appropriate models in order to predict the streamflow more accurately. For this purpose, in the present study, linear time series models (ARMA), intelligent Bayesian network (BN) and BN-ARMA hybrid m... ادامه

سال:2020

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Investigating the Effect of Providing Banking Facilities within the Framework of Islamic Contracts on the Value Added of Economic Sectors: Application of the Bayesian Vector Autoregression Model (BVAR)

کلیدواژه: Banking contracts,Islamic banking,Islamic contracts,Value added of economic sectors,Bayesian vector autoregression model

نویسندگان: Nasr Esfahani Mohammad, GHAEMI ASL MEHDI, Zare Kordiani Ali Asghar

ناشر: معرفت اقتصاد اسلامی - Ma`rifat-e Eghtesad-e Islami

In the interest-free banking system, Islamic contracts, due to their operational nature and interactivity with other economic sectors, can help guide and organize private sectors of the economy. This paper studies the effect of banking facilities within the framework of the Islamic contracts of Ju'a... ادامه

سال:2019

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