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A fast identification algorithm with outliers under Box-Cox transformation-based annealing robust radial basis function networks

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Abstract

In this article, a Box-Cox transformation-based annealing robust radial basis function networks (ARRBFNs) is proposed for an identification algorithm with outliers. Firstly, a fixed Box-Cox transformation-based ARRBFN model with support vector regression (SVR) is derived to determine the initial structure. Secondly, the results of the SVR are used as the initial structure in the fixed Box-Cox transformation-based ARRBFNs for the identification algorithm with outliers. At the same time, an annealing robust learning algorithm (ARLA) is used as the learning algorithm for the fixed Box-Cox transformation-based ARRBFNs, and applied to adjust the parameters and weights. Hence, the fixed Box-Cox transformation-based ARRBFNs with an ARLA have a fast convergence speed for an identification algorithm with outliers. Finally, the proposed algorithm and its efficacy are demonstrated with an illustrative example in comparison with Box-Cox transformation-based radial basis function networks.

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Author information

Authors and Affiliations

  1. Graduate School of Engineering Science and Technology, National Yunlin University of Science and Technology, Douliou, Yunlin, 640, Taiwan

    Pi-Yun Chen

  2. Department of Electrical Engineering, National Yunlin University of Science and Technology, Douliou, Yunlin, 640, Taiwan

    Chia-Ju Wu

  3. Department of Automation Engineering, Nan Kai University of Technology, Tsaotun, Nantou, 542, Taiwan

    Chia-Nan Ko

  4. Department of Computer Science and Information Engineering, National Formosa University, Huwei, Yunlin, 632, Taiwan

    Jin-Tsong Jeng

Authors
  1. Pi-Yun Chen
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  2. Chia-Ju Wu
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  3. Chia-Nan Ko
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  4. Jin-Tsong Jeng
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Corresponding author

Correspondence to Pi-Yun Chen.

Additional information

This work was presented in part at the 14th International Symposium on Artificial Life and Robotics, Oita, Japan, February 5–7, 2009

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Chen, PY., Wu, CJ., Ko, CN. et al. A fast identification algorithm with outliers under Box-Cox transformation-based annealing robust radial basis function networks. Artif Life Robotics 14, 62–66 (2009). https://doi.org/10.1007/s10015-009-0629-6

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  • DOI: https://doi.org/10.1007/s10015-009-0629-6

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