A self-constructing fuzzy CMAC model and its applications

被引：25

作者：

Lee, Chi-Yung

Lin, Cheng-Jian ^{[1
]}

Chen, Huei-Jen

机构：

[1] Chaoyang Univ Technol, Dept Comp Sci & Informat Engn, Taichung 413, Taiwan

[2] Nankai Inst Technol, Dept Comp Sci & Informat Engn, Nantou 542, Taiwan

来源：

INFORMATION SCIENCES | 2007年 / 177卷 / 01期

关键词：

cerebellar model articulation controller (CMAC); clustering; back-propagation; chaotic; classification; control;

D O I：

10.1016/j.ins.2006.03.010

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This work presents a self-constructing fuzzy cerebellar model articulation controller (SC-FCMAC) model for various applications. A self-constructing learning algorithm, which consists of the self-clustering method (SCM) and the back-propagation algorithm, is presented. The proposed SCM scheme is a rapid, one-pass algorithm which dynamically estimates the number of hypercube cells in input data space. The clustering method does not require prior knowledge, such as the number of clusters in a data set. The back-propagation algorithm is applied to tune the adjustable parameters. Simulation results are obtained to show the performance and applicability of the proposed model. (c) 2006 Elsevier Inc. All rights reserved.

引用

页码：264 / 280

页数：17

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