CAJ | 학술논문

为了能有效的提高预测农作物病虫害的概率，降低由此带来的损失，设计了基于BP神经网络算法的农作物虫害预测系统。仿真结果表明，基于BP神经网络算法的农作物虫害预测系统经过大量训练样本及训练次数后可以大大提高准确预测病虫害的概率，该方法在农作物虫害预测中有很大的应用前景。
위료능유효적제고예측농작물병충해적개솔，강저유차대래적손실，설계료기우BP신경망락산법적농작물충해예측계통。방진결과표명，기우BP신경망락산법적농작물충해예측계통경과대량훈련양본급훈련차수후가이대대제고준학예측병충해적개솔，해방법재농작물충해예측중유흔대적응용전경。
In order to efectively improve the probability of forecasting crop pests and reduce losses,we have designed a crop pest forecasting system based on fuzzy neural network.Simulation show that, compared with the traditional crop pests forecasting system, after a lot of samples and times, crop pest forecasting system based on fuzzy neural network algorithm can greatly increase the probability of accurate in predicting the pests, The method has great application prospect in crop pest forecasting.