基于遗传算法的BP神经网络对农业产业的分析预测

Agricultural industry analysis and prediction based on genetic algorithm and BP neural network

农业产业总值的准确预测对农业产业的优化和改善具有重要的意义.以遗传算法优化的BP神经网络建立农业产业总值的预测模型,该模型结合遗传算法和BP神经网络两者的优点,既有神经网络强大的学习能力,又具有遗传算法的全局搜索能力.采用该算法对农业产业总值进行预测,并与实际值进行对比分析.结果表明,该算法收敛速度快,预测精度高,具有较高的可靠性和适用性.

The accurate prediction of the total value of the agricultural industry is of great significance to the optimization and improvement of the agricultural industry.Propose a prediction model for the total value of the agricultural industry based on BP neural network optimized by genetic algorithm.This model combines the advantages of both genetic algorithm and BP neural network,namely the powerful learning ability of existing neural network and the global search ability of genetic algorithm.This algorithm is used to predict the total value of the agricultural industry and compares with the actual value.The results shows that the algorithm has high convergence speed,high prediction precision,and has high reliability and applicability.