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Neural Networks Forecasting Yield per Hectare of Jowar: A Case Study

R. Ramakrishna

Abstract



In this paper, a relative study is carried out to investigate the forecasting of yield per hectare of Jowar (in Kg) in Andhra Pradesh using Feed-Forward neural networks model and Box-Jenkins methods, which are among those forecasting models most successfully applied and perform into practice. This study investigates application of neural networks models and the results of which will be compared with those obtained by Box-Jenkins method.

Keywords


Box-Jenkins methodology, Jowar, Feed –Forward Neural networks

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