A new improved CMAC neural network

A new improved CMAC neural network

In order to accelerate the learning speed of the conventional CMAC, an Improved Credit Assigned CMAC (ICA-CMAC) is presented in this paper. And then the proposed ICA-CMAC is applied to approaching two objective functions. Simulation results show that the ICA-CMAC has faster learning speed. In additi...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Yingqi Ge, Xiaoping Luo, Pengying Du
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Acceleration
Cities and towns
Convergence
credibility
Educational institutions
Electronic mail
ICA-CMAC
Intelligent networks
Intelligent systems
Laboratories
learning rate
Neural networks
online learning
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Beschreibung
Zusammenfassung:In order to accelerate the learning speed of the conventional CMAC, an Improved Credit Assigned CMAC (ICA-CMAC) is presented in this paper. And then the proposed ICA-CMAC is applied to approaching two objective functions. Simulation results show that the ICA-CMAC has faster learning speed. In addition, the paper discussed different performances of ICA-CMAC influenced by different learning rates. It was found that the ICA-CMAC with a learning rate less than 1 has a better learning performance, which might be useful in selecting an appropriate learning rate.
ISSN:1948-9439
1948-9447
DOI:10.1109/CCDC.2010.5498618