List of Articles Neural network

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  1 - Comparison of Qualitative and Quantitative Methods to Predict Price of Wheat in Iran
  رضا Kazemi احمد Dehghan-Sanej کاوه Khalilzadeh
  20.1001.1.20086407.1396.9.35.7.6
• Open Access Article
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  2 - A Surveyon The effect of oil price volatility in Agricultural sector by Arimax and Neural network Methods during 1994-2014
  Hamed Ghaderzadeh shima ghosairi darbandeh
  20.1001.1.20086407.1399.12.48.9.5
• Open Access Article
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  3 - Investigation the Reciprocal Effects of Saffron warehouse Receipt and Saffron Future Contracts in Iran Mercantile Exchange (IME)
  SEYED MEYSAM JALILI AKBAR MIRZAPOUR BABAJAN Beitollah Akbari Moghadam Arash Hadizade Miyarkolaee
  10.30495/jae.2023.25973.2189
• Open Access Article
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  4 - Groundwater Quality Prediction and Investigating the Effect of its Changes on Land Prices
  Reza Moghaddasi Danial Valadkhan Amir Mohammadinejad
  10.30495/jae.2024.31888.2383
• Open Access Article
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  5 - Determination of Effective Factors on Adoption of Livestock Insurance in Kerman with Parametric and Nonparametric Methods
  M. R. Z. Mehrjerdi A. Esmaieli
  20.1001.1.20086407.1389.2.7.2.6
• Open Access Article
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  6 - Comparison of Combined And Conventional Models in Forecasting Prices of Wheat, Corn and Sugar
  R. مقدسی M. J.R
• Open Access Article
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  7 - The Forecasting of Wholesale and Retail Prices of Rainbow Trout Fish Using Artificial Neural Network and ARMA Model
  S.A مرتضوی S. حسنلو A. بروجنی
• Open Access Article
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  8 - Use of Artificial Neural Network (ANN) and Time Series Approach for Prediction of Electricity consumption in Agricultural sector
  M. Ebrahimi
  20.1001.1.20086407.1391.4.13.2.2
• Open Access Article
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  9 - forecasting the export of Iran's date Using econometric methods and artificial intelligence
  A. اکبری M. Sh H. مهرابی بشرآبادی
• Open Access Article
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  10 - Evaluating hybrid model of artificial neural networks and genetic algorithms for forecasting consumption of energy in Iran agricultural sector
  R. Taghizadeh A. Fattahi M. H. Tahari H. = Babaei
  20.1001.1.20086407.1394.7.27.9.8