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.
Automobile Fault Diagnosis Expert System Based on Artificial Intelligence Network Technology
2024-04-19
512675 byte
Conference paper
Electronic Resource
English
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