双推理核山羊疾病诊断专家系统

专家系统在动植物疾病虫害诊断领域得到了广泛应用。为辅助兽医求解当地主要经济动物山羊疾病诊断治疗问题，建模山羊疾病诊断专家系统体系架构，提出双推理机核的推理机制，设计重权关联因子可信度预测推理和支持机器学习的贝叶斯（Bayesian）推理算法，构造原型系统，开展现场试验。试验结果表明：双推理机核推理诊断同传统单一推理机制相比，显著改善了准确度，提高知识库利用率，求解模型的综合准确率达到了90%，填补了对比度空白，获得满意的效果。

Expert system of goat disease diagnosis with dual-reasoning-kernel

Expert Systems have been widely used in the field of diagnosis of animal diseases and crop pests. For the purpose of helping the local veterinaries to diagnose goat disease, authors constructed expert system and proposed dual-core diagnosis mechanism of inference engine, which is the credibility factor associated with the weighted forecast reasoning and machine learning Bayesian which supports reasoning algorithms, The prototype system was constructed, and some field experiments were carried out. Experimental results showed that in contrast to the traditional-single reasoning mechanism, the model of dual-reasoning-kernel can significantly improve inference accuracy and the utilization rate of knowledge, whose comprehensive accurate rate reached 90%. The system filled the gap of contrast and achieved satisfactory results.