【摘要】 为了研究指数灰色模型GM(1,N)和BP神经网络模型预测生猪价格指数,提出了一种基于L2范数的GOWA算子的中国生猪价格GM-BP组合预测模型.通过理论分析和数值实验表明,该组合预测模型是有效的,并且可以提高生猪价格指数的预测精度.更多还原

【Abstract】 In order to study the index gray model GM(1,N) and the BP neural network model to predict the price of live pigs, a GM-BP combination forecasting model for the price of Chinese pigs based on the GOWA operator of the L2 norm is proposed.Theoretical analysis and numerical experiments show that the combined prediction model is effective and can improve the prediction accuracy of the pig price index.更多还原