Prediction of Rice Production in India Using Artificial Neural Network with Genetic Algorithm
作者： Surjeet Kumar , Manas Kumar Sanyal , Asit Naskar
DOI: 10.1109/ICCSEA49143.2020.9132946
关键词:
摘要: Both Genetic Algorithms (GA) and Artificial Neural Networks (ANN) are extensively employed for predictive analysis in the research study. Agriculture is foundation of our country Rice production one major crops India. Thus, modelling rice becomes extremely important task. This paper aims to develop a Hybrid model using ANN with GA carry out order generate superior prediction. The proposed tested on India from 1981 2003. prediction performance evaluated error calculation techniques indices like ‘Mean Squared Error’ (MSE), ‘Root Mean Square (RMSE) Absolute Percentage (MAPE). Which recognized that minimized hybrid comparison existing where Network used exclusively.
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