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Interval Type-2 Locally Linear Neuro Fuzzy Model Based on Locally Linear Model Tree

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Artificial Intelligence and Soft Computing (ICAISC 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9119))

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Abstract

In this paper a new interval Type-2 fuzzy neural network will be presented for function approximation. The proposed neural network is based on Locally Linear Model Tree (LOLIMOT) which is a fast learning algorithm for Locally Linear Neuro-Fuzzy Models (LLNFM). In this research, main measures are to be robust in presence of outlier data and be fast in refining steps. The proposed combination between LOLIMOT learning algorithm and interval type 2 fuzzy logic systems presents a good performance both in robustness and speed measures. The results show that the proposed method has good robustness in presence of noise as we can see in experiments conducted using corrupted data. Also this method has eligible speed as it can be seen in the results.

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Author information

Authors and Affiliations

  1. Department of Computer Engineering and Information Technology, Amirkabir University of Technology, Tehran, Iran

    Zahra Zamanzadeh Darban

  2. Research Center for Developing Advanced Technologies, Tehran, Iran

    Mohammad Hadi Valipour

Authors
  1. Zahra Zamanzadeh Darban
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  2. Mohammad Hadi Valipour
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Corresponding author

Correspondence to Zahra Zamanzadeh Darban .

Editor information

Editors and Affiliations

  1. Częstochowa University of Technology, Częstochowa, Poland

    Leszek Rutkowski

  2. Częstochowa University of Technology, Częstochowa, Poland

    Marcin Korytkowski

  3. Częstochowa University of Technology, Częstochowa, Poland

    Rafal Scherer

  4. AGH University of Science and Technology, Krakow, Poland

    Ryszard Tadeusiewicz

  5. University of California, Berkeley, California, USA

    Lotfi A. Zadeh

  6. University of Louisville, Louisville, Kentucky, USA

    Jacek M. Zurada

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© 2015 Springer International Publishing Switzerland

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Zamanzadeh Darban, Z., Valipour, M.H. (2015). Interval Type-2 Locally Linear Neuro Fuzzy Model Based on Locally Linear Model Tree. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2015. Lecture Notes in Computer Science(), vol 9119. Springer, Cham. https://doi.org/10.1007/978-3-319-19324-3_27

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  • DOI: https://doi.org/10.1007/978-3-319-19324-3_27

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19323-6

  • Online ISBN: 978-3-319-19324-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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