Application of BP-ANN Based on RAGA to Forecasting the Relation between Rice Accumulated Temperature and Yield

The yield of rice is related to accumulated temperature. So, the yield of rice can be predicted according to accumulated temperature. The Error Back-Propagation artificial net based on real coded accelerating genetic algorithm (RAGABP) was put forward to predict the rice harvest. It was shown that RAGABP has several advantages such as well whole optimum and powerful non-linear mapping. The model has more accuracy and fast calculation velocity, and it can be used in other problems related to predicting. (The Journal of American Science. 2005;1(2):28-32).