期刊名称：International Journal of Academic Research in Business and Social Sciences
电子版ISSN：2222-6990
出版年度：2012
卷号：2
期号：2
页码：27-33
出版社：Human Resource Management Academic Research Society
摘要：An analysis of the effects of various factors such as climate factors on wheat yield was performed in Iran country in order to obtain models suitable for yield estimation and regional grain production prediction. Climate data from meteorological records and other data from central bank of Iran were employed. Annual data for 18 years were applied in this study. In order to predict wheat production, artificial neural networks (ANN) methodologies were tested for analyzing the data. To conduct this review, we have considered 8 factors as inputs and wheat production is used as output for the ANN algorithm. Our inputvariables are: rainfall, guaranteed purchasing price, area under cultivation, subsidy, insured area, inventory, import, population, value-added of agriculture group. The comparison of real wheat production with ANN output in the last five years of this study shows that the proposed ANN model is a suitable way of predicting wheat production
关键词：Neural Networks; Forecasting; Wheat Production
