The expert system was analyzed to address issues of automobile fault diagnosis using neuro-network technology. The complexity of the automobile necessitates an efficient fault detection method. Thus, through case studies, performance evaluation, and comparative analysis, the performance of the expert system can be improved. Using AI and machine learning, the expert system shows higher diagnosis accuracy and effectiveness than the previous methods. The results indicated the issue and solutions of fault detection for the reliability and safety of the automobile.


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    Title :

    Automobile Fault Diagnosis Expert System Based on Artificial Intelligence Network Technology


    Contributors:
    Song, Gang (author)


    Publication date :

    2024-04-19


    Size :

    512675 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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