目的利用人工神经网络和专家系统相结合的方法，建立高血压诊断的智能医疗诊断系统模型。
Objective To set up an intelligent medical diagnostic system for the diagnosis of hypertension based on expert system and artificial neural network.
目前，专家系统、神经网络、以及信息融合等智能诊断系统已广泛的应用于液压系统的状态监测与故障诊断中。
Now, intelligence diagnoses system such as specialty system, neural network, and information mixing have been used in the condition monitoring and failure diagnose of hydraulic system.
最后，提出了综合信息融合技术、人工神经网络技术、专家系统知识的智能化异步电动机故障诊断系统。
In the end, the intelligent asynchronous motor fault diagnosis system combining information fusion with artificial network as well as expert knowledge system is presented.
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。
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.
提出并实现了一种基于专家系统和神经网络集成的方法。同时给出了系统的硬、软件结构，并通过实验证明该智能故障诊断系统的可靠性和准确性。
We put forward an module integrated expert and neural network. The hardware and software are also given. It is proved that the intelligent integrated system effctive.
文章阐述了电站电气主设备基于数据库技术、模糊理论、人工智能专家系统及神经网络原理构造的故障诊断系统。
In this paper, a fuzzy database-based intelligence systein on diagnosing electrical faults in power station electric apparatus is proposed.
文章阐述了电站电气主设备基于数据库技术、模糊理论、人工智能专家系统及神经网络原理构造的故障诊断系统。
In this paper, a fuzzy database-based intelligence systein on diagnosing electrical faults in power station electric apparatus is proposed.
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