Abstract
We present a study on the identification of the systems of fuzzy relational equations based on the identification of fuzzy systems by means of max-min neural networks. Concretely two methods are developed which combined more efficiently two previous ones: Sayto and Mukaidono's method and the so-called smoothed derivative technique, already developed by us.
Sign-in/Register to access full text options 
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.
