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Performance Evaluation of ARIMA Hybrid Models in the Prediction of Daily Electrical Conductivity (A Case Study of Telazang Hydrometric Station)

کلیدواژه: Water quality,Neural fuzzy inference network,Arima,Neural network,Hybrid models

نویسندگان: AHMADPOUR A., MIRHASHEMI S.H., HAGHIGHATJOU P., Raisi Sistani M.R.

ناشر: علوم آب و خاک (علوم و فنون کشاورزی و منابع طبیعی) - Journal of Water and Soil Science

In this study, we used the ARIMA time series model, the fuzzy-neural inference network, multi-layer perceptron artificial neural network, and ARIMA-ANN, ARIMA-ANFIS hybrid models for the modeling and prediction of the daily electrical conductivity parameter of daily teleZang hydrometric station over... ادامه

سال:2020

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The Role of Agricultural Cooperatives in the Alleviation of Rural Poverty in Ilam Province

کلیدواژه: Agricultural Cooperatives,Cooperatives’ ؛ Services,Rural Poverty,Ilam Province

نویسندگان: ESHRAGHI SAMANI R., Fatahi S., CHAHARSOGHI AMIN H.

ناشر: تعاون و کشاورزی (تعاون) - CO - OPERATION AND AGRICULTURE (TAAVON)

The present study was carried out to examine the role of agricultural cooperatives in the alleviation of rural poverty in Ilam Province. Statistical population was composed of the members of agricultural cooperatives who lived in rural areas of Ilam Province (N = 2976). Sample size was estimated to ... ادامه

سال:2017

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Evaluation of Classical, Conceptual IHACRES and Hybrid ARMA-ANN Models in Simulation and Prediction of Daily Discharge of Maroun River

کلیدواژه: Artificial Neural Networks,Box-Jenkins Models,Transfer Function,Nash-Sutcliffe Coefficient,Akaike Information Criterion

نویسندگان: Ahmadpour Abbas, Mirhashemi Seyyedhassan, Haghighat jou Parviz

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

The objective of this research is to compare the performance of linear time series models of Box-Jenkins and IHACRES, multilayer perceptron ANN and hybrid ARMA-ANN in order to simulate and predict the daily discharge of Maroun River. For this purpose, daily discharge data of (1991-2006) were used fo... ادامه

سال:2020

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Estimation of Reference Evapotranspiration Using Artificial Neural Network Models and the Hybrid Wavelet Neural Network

کلیدواژه: Water Requirement,Davbechies Wave-let,Temperature,Statistical Indices,Shahrekord

نویسندگان: GANJI KHORRAMDEL N., Hoseini S. M. R.

ناشر: علوم آب و خاک (علوم و فنون کشاورزی و منابع طبیعی) - Journal of Water and Soil Science

Estimation of evapotranspiration is essential for planning, designing and managing irrigation and drainage schemes, as well as water resources management. In this research, artificial neural networks, neural network wavelet model, multivariate regression and Hargreaves' empirical method were used to... ادامه

سال:2019

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Ethical Banking and Social Responsibility: Presenting a Green Banking Model

کلیدواژه: Ethical banking,Social responsibility,Green banking

نویسندگان: ZadFallah M., Ganjinia H., Azadeh Del M., Baghersalimi S.

ناشر: اخلاق در علوم و فناوری - Ethics in Science and Technology

Background: In ethical banking, social responsibility is important and customers' money is not used to finance something that can have a negative impact on society. One of the dimensions of social responsibility is to pay attention to the environment. Considering the importance of this, the aim of t... ادامه

سال:2024

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Aplication of the Hybrid Model of Support Vector Machine-Algorithm Artificial Flora in Estimating the Daily Flow of Rivers (Case study: Dez basin)

کلیدواژه: Artificial Flora Alghorithm,Prediction,Dez Basin,Support Vector Machine

نویسندگان: DEHGHANI R., TORABI POUDEH H., YOUNESI H., SHAHINEJAD B.

ناشر: تحقیقات منابع آب ایران - Iran-Water Resources Research (IWRR)

In this study, the hybrid support vector machine-artificial flora algorithm method was developed and the results were compared with those of the support vector machine-wavelet model. The case study of Dez catchment area was used in order to estimate the flow rate of the rivers employing the daily di... ادامه

سال:2020

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Health Accounting Measurement and its Relationship with the Firm Value through Moderate Role of Corporate Governance

کلیدواژه: Corporate Governance,Firm Value,Health Accounting

نویسندگان: MARANJORY M., ALIKHANI R., Jahandar Lashaki M.

ناشر: حسابداری سلامت - JOURNAL OF HEALTH ACCOUNTING

Introduction: Managers are required not only to be accountable for financial and economic issues of the firms under their supervision, but also to consider hygienic, safety and health related issues of their staff and disclosing such information. The goal of this research is to examine health accoun... ادامه

سال:2020

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An Introduction to Hybrid Model Inventory Control with a Green Supplier Selection Model under Uncertainty

کلیدواژه: Green supply Chain Management,Vendor Managed Inventory,Supplier Selection Problem,Multi-Objective Optimization

نویسندگان: REZAEE S., Khakestari M.

ناشر: تحقیق در عملیات در کاربردهای آن - Journal of Operational Research in its Applications

In the current decade, determining the most appropriate supplier as a strategic factor in the supply chain has attracted lots of consideration. On the other hand, organizations do necessary measures to implement green supply chain management in order to improve environmental and economic performance... ادامه

سال:2020

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New Hybrid Model to Prioritize Effecting Factors on Common Arasbaran Pheasant (Phasianus colchicus colchicus) Habitat Selection

کلیدواژه: Phasianus colchicus,Special area,Habitat,FANP model

نویسندگان: Aalipour M., NADERI S.

ناشر: پژوهش های جانوری - Journal of Animal Research

Habitats are one of the main and most important ecological needs for conservation of a species. Therefore, habitat preferences and selection a safe environment for species and effective environmental factors for these preferences can be a way to manage habitat and species. The pheasant species in Ar... ادامه

سال:2020

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