摘要
采用BP神经网络准确识别内窥故障信息,并且建立综合基于规则推理和基于案例推理的混合专家系统,对内窥故障进行智能诊断。实验结果证明,该专家系统能快速有效地给出损伤评估和维修策略。
Using BP neural network to exactly identify endoscopic faults,and building mixed expert system with rulebased-reasoning and case-based-reasoning to diagnosis faults intelligently.The results of experiment show that the expert system can provide damage assessment and maintenance decision rapidly and effectively.
出处
《中国民航大学学报》
CAS
2009年第6期13-16,共4页
Journal of Civil Aviation University of China
基金
中国民用航空局教育基金项目(MH03-02)
