【摘要】 人工神经网络（ANN）是人工智能领域中发展迅速的信息处理技术之一。它能够处理高度非线性问题,具有跟踪性能好、适用面广、容错能力强等优点。近年来人工神经网络模型开始逐渐应用于植物病虫害预测预报,并对多种植物病虫害预测预报取得了良好效果,已成为植物病虫害预测预报的一条新途径。本文简要介绍了人工神经网络的发展过程和基本原理,对其在小麦等作物病虫害预测中的应用作了综述。并在此基础上,就人工神经网络在作物病虫害预测中的应用进行了展望。更多还原

【Abstract】 Artificial neural network (ANN) was one of the quick developing processing techniques in artificial intelligence. ANN could deal with high degree non-linear matters very well. In recent years, it was applied in the prediction of plant diseases and pests and had acquired good effects. In this paper, the development and basic principles of ANN were briefly introduced. And the application of ANN in prediction of wheat, rice, cotton and other plant diseases and pests was summarized. On this base, we looked into the future of the application of ANN in forecasting of plant diseases and pests.更多还原