文章基本信息

标题：Crop Cost Forecasting using Artificial Neural Network with feed forward back propagation method for Mysore Region
本地全文：下载
作者：Pushpa Mohan ; Dr. Kiran Kumari Patil
期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2017
卷号：6
期号：4
页码：6133
DOI：10.15680/IJIRSET.2017.0604263
出版社：S&S Publications
摘要：In recent days, agriculture crop price examination is emerging as a significant research field. In thisscenario, Mysore district (Karnataka) is undertaken for research investigation. One of the major concern in Crop CostPrediction (CCP) is to manage large database with maximum attributes. In order to avoid this difficulties, amethodology named Artificial Neural Networks (ANN) with Feed Forward Back Propagation (FFBP) scheme isemployed for accurate CCP. In this paper, the cost prediction accuracy is enhanced by minimizing the Mean SquaredError (MSE) by means of forecast values. Therefore, this proposed methodology outcome shows a clear idea about cropprice in Mysore region.
关键词：Artificial neural network; Crop cost prediction; Feed Forward Back Propagation; Mean squared error.