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Concurrent Fuzzy Neural Networks

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Issues in the Use of Neural Networks in Information Retrieval

Part of the book series: Studies in Computational Intelligence ((SCI,volume 661))

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Abstract

The aim of this chapter is to introduce two concurrent fuzzy neural network approaches for a: (1) Fuzzy Nonlinear Perceptron (FNP) and (2) Fuzzy Gaussian Neural Network (FGNN), each of them representing a winner-takes-all collection of fuzzy modules.

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Notes

  1. 1.

    Neagoe, V. E. and StÇŽnÇŽÅŸilÇŽ, O., Pattern Recognition and Neural Networks (in Romanian), 1999, Ed. Matrix Rom, Bucharest.

References

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  3. I. Iatan. Neuro- Fuzzy Systems for Pattern Recognition (in Romanian). PhD thesis, Faculty of Electronics, Telecommunications and Information Technology- University Politehnica of Bucharest, PhD supervisor: Prof. dr. Victor Neagoe, 2003.

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  4. V. Neagoe, I. Iatan, and S. Grunwald. A neuro- fuzzy approach to ecg signal classification for ischemic heart disease diagnosis. In the American Medical Informatics Association Symposium (AMIA 2003), Nov. 8- 12 2003, Washington DC, pages 494–498, 2003.

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  5. V. E. Neagoe and O. Stǎnǎşilǎ. Pattern Recognition and Neural Networks (in Romanian). Ed. Matrix Rom, Bucharest, 1999.

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  6. V. Neagoe and I. Iatan. Concurrent fuzzy nonlinear perceptron modules for face recognition. In Proceedings of the International Conference COMMUNICATIONS 2004, pages 269–274. Edited by Technical Military Academy, Bucharest, 2004.

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  7. I. Iatan. A concurrent fuzzy neural network approach for a fuzzy gaussian neural network. Blucher Mechanical Engineering Proceedings, 1(1):3018–3025, 2014.

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Authors and Affiliations

  1. Department of Mathematics and Computer Sciences, Technical University of Civil Engineering, Bucharest, Romania

    Iuliana F. Iatan

Authors
  1. Iuliana F. Iatan
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Correspondence to Iuliana F. Iatan .

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Iatan, I.F. (2017). Concurrent Fuzzy Neural Networks. In: Issues in the Use of Neural Networks in Information Retrieval. Studies in Computational Intelligence, vol 661. Springer, Cham. https://doi.org/10.1007/978-3-319-43871-9_6

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  • DOI: https://doi.org/10.1007/978-3-319-43871-9_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-43870-2

  • Online ISBN: 978-3-319-43871-9

  • eBook Packages: EngineeringEngineering (R0)

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