Research on Learning Algorithm of RBF Neural Network Based on Extended Kalman Filter

Xu Sheng Gan; Hai Long Gao

doi:10.4028/www.scientific.net/AMR.989-994.2705

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 989-994Research on Learning Algorithm of RBF Neural...

Research on Learning Algorithm of RBF Neural Network Based on Extended Kalman Filter

Abstract:

To improve the learning capability of Radial Basis Function (RBF) neural network, a RBF neural network algorithm based on Extended Kalman Filter (EKF) is proposed. First the basic idea of EKF algorithm and RBF neural network are introduced, and then EKF is used to optimize the parameters combination of RBF neural network to obtain the better model. The experiment proves its feasibility.

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Periodical:

Advanced Materials Research (Volumes 989-994)

Pages:

2705-2708

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.989-994.2705

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Online since:

July 2014

Authors:

Xu Sheng Gan*, Hai Long Gao

Keywords:

Extended Kalman Flter (EKF), Learning Algorithm, Neural Network (NN), Radial Basis Function

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* - Corresponding Author

References

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