基于逐步回归法和BP神经网络模型的苹果产量预测

本文通过逐步回归法挑选出4种影响苹果产量的关键气象因子，并运用逐步回归法和BP神经网络建立苹果产量预测模型，通过模型检验两种预测模型拟合效果均较好，均能够较好的预测今后苹果的产量趋势，BP神经网络模型预测有较高精度，但BP神经网络预测模型存在局限性。

Yield prediction based on the regression predicted model and BP neural network predicted model

The paper selected the meteorological factors affecting the yield of apples based on the regression method. The article established yield prediction model using regression method and BP neural network model, two prediction model fitted well ,and can predict apple yield tendency by the data test.BP Neural Network Model had higher precision, but it is limited by BP neural network model.