Abstract
Integrated use of the neural and fuzzy techniques in cutting tool monitoring is illustrated in the paper. The results are compared with ANN and previous neuro-fuzzy (NF) approaches. The paper shows that the NF technique can comply with the fundamental requirements of intelligent manufacturing, i.e. real-time nature, uncertainty handling and learning abilities, with the additional benefits of managing both symbolic and numeric information, hybrid learning, and a kind of explanation facility. Finally, the integration of such a hybrid system in an intelligent manufacturing environment is investigated.
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 callDisclaimer: 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.
