Constructing dense fuzzy systems by adaptive scheduling of optimization algorithms
Publication Name: Proceedings of the 2013 Joint Ifsa World Congress and NAFIPS Annual Meeting Ifsa NAFIPS 2013
Publication Date: 2013-10-31
Volume: Unknown
Issue: Unknown
Page Range: 280-285
Description:
In this paper dense fuzzy rule based systems are constructed for solving machine learning problems. During the knowledge extraction process a scheduling approach is applied, which adaptively switches between the different optimization algorithms based on their convergence speed in the phases of the learning process, i.e. according to their respective local efficiency. © 2013 IEEE.
Open Access: Yes
