Abstract

With the rapid development of automobile electronic technology, automotive interior structure and mutual communication relations are becoming increasingly complex; meanwhile,users’ requirements for timeliness and accuracy in automobile fault diagnosis are also getting higher, thus increasing the difficulty and uncertainty of automobile fault diagnosis process. The automobile fault clustering fusion system with artificial intelligent neural network as the core is established for fault diagnosis, which not only meets the requirement for timeliness, but also makes after-sale diagnosis service intelligent and user-friendly. This system will have a promising development in future.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.