Accurate prediction of grain yield has a great significance for food safety and social stability.An improved Back-propagation Neural Network（BPNN） model named REMCC-BPNN for time series forecasting was proposed.REMCC-BPNN optimizes the training model for BPNN based on the minimum correlation coefficient of the absolute value of the K nearest neighbor training samples＇ fitting relative error and the K training samples＇ time order.Two real-world datasets,the grain yield from 1985 to 2011 in China and the grain yield from 1995 to 2010 in Hunan...
