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Computational Intelligence Techniques

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Computational Intelligence in Multi-Feature Visual Pattern Recognition

Part of the book series: Studies in Computational Intelligence ((SCI,volume 556))

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Abstract

The chapter explains the computational intelligence techniques utilized in the algorithms presented in the book. The fuzzy and rough sets, fuzzy-rough sets, genetic algorithm and, feature selection and classification using the fuzzy-rough sets are detailed. The biologically inspired feature extraction system utilized in the presented algorithms is explained.

The true sign of intelligence is not knowledge but imagination

Albert Einstein.

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Notes

  1. 1.

    In humans these patterns are stored in synaptic weights of neural cells.

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Author information

Authors and Affiliations

  1. Inst. of High Performance Computing, A*STAR, Singapore, Singapore

    Pramod Kumar Pisharady

  2. Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore

    Prahlad Vadakkepat & Loh Ai Poh

Authors
  1. Pramod Kumar Pisharady
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  2. Prahlad Vadakkepat
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  3. Loh Ai Poh
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Correspondence to Pramod Kumar Pisharady .

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Pisharady, P.K., Vadakkepat, P., Poh, L.A. (2014). Computational Intelligence Techniques. In: Computational Intelligence in Multi-Feature Visual Pattern Recognition. Studies in Computational Intelligence, vol 556. Springer, Singapore. https://doi.org/10.1007/978-981-287-056-8_2

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  • DOI: https://doi.org/10.1007/978-981-287-056-8_2

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  • Print ISBN: 978-981-287-055-1

  • Online ISBN: 978-981-287-056-8

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