Abstract
We proposed a new general fuzzy neural network (GFNN) which can process the structural self-organizing and parametric self-learning online. Based on the concept of fuzzy logic system, GFNN has a structure of a three-layer feedforward network and a wider information interface. Its neurons in the hidden layer correspond to the fuzzy rules and have some functions of information storage and inference. It is easy for GFNN to realize the novel structural self-organizing online with the presentation of three concepts: the match degree; the match degree criterion; and the minimum believable level. So it can be used to identify the time-varying nonlinear system online.
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.
