A neural fuzzy framework for system mapping applications

作者：Liu Jie; Wang Wilson^*; Golnaraghi Farid; Kubica Eric

来源：Knowledge-Based Systems, 2010, 23(6): 572-579.

DOI：10.1016/j.knosys.2010.04.001

• Neural fuzzy system
• Nonlinear mapping
• Linear systems
• Nonlinear systems
• TSK model

A novel neural fuzzy (NF) mapping framework is developed in this paper to convert linear systems and a class of nonlinear systems from the crisp-domain to a NF representation The resulting neural fuzzy system (NFS) is guaranteed to be functionally identical to the original system. Therefore, the proposed mapping technique provides a well-defined prototype for one type of NFS design The resulting fuzzy reasoning representation facilitates the investigation in linguistic terms into the system operations, whereas the system performance can be further improved by properly incorporating expertise knowledge or by online/offline training via this NE structure The developed technique is to ext

• 出版日期2010-8