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应用人工神经网络中的BP前馈网络模型和改进的BP算法 ,对棉铃虫发生程度进行预测 ,结果表明 :该算法可靠 ,验证符合率达百分之百 ,在农作物病虫害预测方面有广阔的应用前景
The BP neural network BP feedforward network model and the improved BP algorithm were used to predict the occurrence degree of cotton bollworm. The results show that the algorithm is reliable, the coincidence rate of validation is 100%, and it has broad application prospects in crop pest prediction