介绍了专家系统的具体实现过程，对基于规则、基于案例、基于模型以及混合推理的推理机制进行了研究。
It introduces the concrete realization course of the expert system and traverses the inference mechanism based on rule, case, model and hybrid reasoning.
围绕CBR系统的构建，分析论证了基于案例推理的果树病害预测系统平台的设计方案，实现了各模块功能。
According to the building of CBR system, we analyzed and demonstrated the project of fruit diseases forecasting system based on the Case-Based Reasoning and implemented every function module.
与传统的基于规则的系统相比，基于案例推理的系统具有简化知识获取、便于知识积累等优点。
Comparing to traditional rule-based system, it has many advantages, which can predigest knowledge gathering and accumulate knowledge easily.
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