Application of soft computing techniques for optimum prediction of selected crops yield in india

Abstract

newline Time series data is a sequence of observations over the time at regular interval like weekly, newlinemonthly, and yearly basis. Time series data is an important when, we are predicting newlinesomething which is depends on the past data. Forecasting means to predict the future values newlineof a time series. Though, it is the most vital topic but the analysts from different field like newlineFinance, Economics, Science, Engineering, Statistics and Agriculture etc, face problem to newlinedevelop an error free method. Now a days, many statistical techniques are available for newlineforecasting the data, but researchers are trying to develop a new method for minimizing the newlineerror of prediction accuracy. Time Series data prediction is often conducted by Soft newlineComputing Technique for trend analysis and the Soft Computing technique is widely use in newlinedata prediction for all the sectors. The aim of our research is to develop a Hybrid Model to newlineenhance the accuracy of prediction and forecast the more accurate data.