The paper studies complex electric equipment fault diagnosis based on the theory and method of fault diagnosis by applying the theory of artificial intelligent, fuzzy theory and neural network.
以故障诊断的理论和方法为基础，综合运用人工智能、模糊理论和神经网络理论，对复杂电子装备的故障诊断问题进行了研究。
Proposed a method which unites artificial neural network with expert system and set up a medical intelligent diagnosis system, which is used to diagnose myocardial infarction and angina as well.
提出了将人工神经网络与专家系统相结合，建立医疗智能诊断系统的方法，并用于心肌梗塞、心绞痛疾病的临床诊断。
Necessary to study new intelligent detection technology, neural network and artificial immune method are the study hot.
需要研究新的智能检测技术，其中神经网络方法和人工免疫方法是研究的热点。
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