| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 496584 | Applied Soft Computing | 2012 | 13 Pages |
Abstract
⺠This paper developed a hybrid self-organizing fuzzy and radial basis-function neural-network controller (HSFRBNC) for turning systems. ⺠The HSFRBNC eliminates the problem of a self-organizing fuzzy controller (SOFC) implementation. ⺠This study used a Levenberg-Marquardt algorithm to minimize the cost function of the radial basis-function neural-network. ⺠This study demonstrated that the HSFRBNC achieved better control performance than the SOFC for the control of a turning system.
Related Topics
Physical Sciences and Engineering
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Authors
Ruey-Jing Lian,