The Fuzzy CMAC Based on RLS Algorithm

Hui Cheng

doi:10.4028/www.scientific.net/AMM.432.478

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 432The Fuzzy CMAC Based on RLS Algorithm

The Fuzzy CMAC Based on RLS Algorithm

Abstract:

In this paper, the structure of the fuzzy crebellar model articulation controller (FCMAC) neural network was discussed. The FCMAC can improve the accuracy of the CMAC. It also has excellent generalization ability and fault-tolerance ability. The recursive least squares (RLS) algorithm was introduced into the FCMAC. The FCMAC based on RLS algorithm has potential application prospect in the research of modeling and emulation on the complex systems.

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Periodical:

Applied Mechanics and Materials (Volume 432)

Pages:

478-482

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.432.478

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Online since:

September 2013

Authors:

Hui Cheng

Keywords:

Algorithm (GA), FCMAC, Network, Recursive Least Square (RLS)

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