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Differential Evolution Based On-Line Feature Analysis in an Asymmetric Subsethood Product Fuzzy Neural Network

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Neural Information Processing (ICONIP 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3316))

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Abstract

This paper proposes a novel differential evolution learning based online feature selection method in an asymmetric subsethood product fuzzy neural network (ASuPFuNIS). The fuzzy neural network has fuzzy weights modeled by asymmetric Gaussian fuzzy sets, mutual subsethood based activation spread, product aggregation operator thatworks in conjunction with volume defuzzification in a differential evolution learning framework. By virtue of a mixed floating point-binary genetic coding and a customized dissimilarity based bit flipping operator, the differential evolution based asymmetric subsethood product network is shown to have online feature selection capabilities on a synthetic data set.

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References

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Author information

Authors and Affiliations

  1. Dept. of Physics and Computer Science, Faculty of Science, Dayalbagh Educational Institute, Dayalbagh, Agra, 282005, India

    C. Shunmuga Velayutham & Satish Kumar

Authors
  1. C. Shunmuga Velayutham
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  2. Satish Kumar
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Editor information

Editors and Affiliations

  1. Indian Statistical Institute, Electronics and Communication Sciences Unit, Kolkata, India

    Nikhil Ranjan Pal

  2. School of Computer and Information Sciences, Knowledge Engineering and Discovery Research Institute (KEDRI), Auckland University of Technology, Private Bag 92006, Auckland, New Zealand

    Nik Kasabov

  3. Department of Instrumentation and Electronics Engineering, Jadavpur University, Salt-lake Campus, 700098, Calcutta, India

    Rajani K. Mudi

  4. Indian Statistical Institute, 203 B. T. Road, 700 108, Calcutta,  

    Srimanta Pal

  5. Indian Statistical Institute, Computer Vision and Pattern Recognition Unit, 700108, Kolkata, India

    Swapan Kumar Parui

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© 2004 Springer-Verlag Berlin Heidelberg

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Velayutham, C.S., Kumar, S. (2004). Differential Evolution Based On-Line Feature Analysis in an Asymmetric Subsethood Product Fuzzy Neural Network. In: Pal, N.R., Kasabov, N., Mudi, R.K., Pal, S., Parui, S.K. (eds) Neural Information Processing. ICONIP 2004. Lecture Notes in Computer Science, vol 3316. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30499-9_148

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  • DOI: https://doi.org/10.1007/978-3-540-30499-9_148

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23931-4

  • Online ISBN: 978-3-540-30499-9

  • eBook Packages: Springer Book Archive

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