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The application of expert system and neural networks in crop growth management system

机译:专家系统和神经网络在作物生长管理系统中的应用

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In order to improve the level of crop growth management, the characters of traditional expert system and neural network are considering, the self-learning and inference ability of neutral network and the prior knowledge of expert system were regarded as combination, then expert system of crop growth based on neural networks was constructed. The paper proposed the model of neural networks and analyzed the achievement of expert system, and carried out simulation and test on the growth management of crop. The practice has proved that this method is an effective diagnostic method, and can be applied in the growth management of crop, then improve high production and efficiency of crop.
机译:为了提高农作物生长管理水平,考虑了传统专家系统和神经网络的特点,将中性网络的自学习和推理能力与专家系统的先验知识结合起来,进而提出农作物专家系统。构造了基于神经网络的增长。提出了神经网络模型,分析了专家系统的成果,并对作物的生长管理进行了仿真和试验。实践证明,该方法是一种有效的诊断方法,可用于农作物的生长管理,进而提高农作物的高产和增产。

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