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Mathematical Aspects of Using Neural Approaches for Information Retrieval

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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))

Abstract

Scientists have shown considerable interest in the study of Artificial Neural Networks (NNs) during the last decade. Interest in Fuzzy Neural Network (FNN) applications was generated (Chen et al, IEEE Trans Syst Man Cybern 29(1):119–126, 1999, [1]) by two events.

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Notes

  1. 1.

    Hammer, B., and Villmann, T., Mathematical Aspects of Neural Networks, 11th European Symposium on Artificial Neural Networks (ESANN’ 2003), 2003, 59–72.

  2. 2.

    Hammer, B., and Villmann, T., Mathematical Aspects of Neural Networks, 11th European Symposium on Artificial Neural Networks (ESANN’ 2003), 2003, 59–72.

  3. 3.

    Ramageri, B.M., Data Mining Techniques and Applications, Indian Journal of Computer Science and Engineering, 2010, 1(4), 301–305.

  4. 4.

    Reshadat, V., and Feizi-Derakhshi, M.R., Neural Network-Based Methods in Information Retrieval, American Journal of Scientific Research, 2011, 58, 33–43.

  5. 5.

    Reshadat, V., and Feizi-Derakhshi, M.R., Neural Network-Based Methods in Information Retrieval, American Journal of Scientific Research, 2012, 58, 33–43.

  6. 6.

    Bashiri, H., Neural Networks for Information Retrieval, http://www.powershow.com/view1/1af079-ZDc1Z/Neural_Networks_for_Information_Retrieval_powerpoint_ppt_presentation, 2005.

  7. 7.

    Mokriš, I., and Skovajsová, L., Neural Network Model of System for Information Retrieval from Text Documents in Slovak Language, Acta Electrotechnica et Informatica, 2005, 3(5), 1–6.

  8. 8.

    Burgerr, W., and Burge, M.J., Principles of Digital Image Processing. Fundamental Techniques, Springer-Verlag London, 2009.

  9. 9.

    Xhemali, D., and Hinde, C.J., and Stone, R.G., Na\({\ddot{\mathrm{i}}}\)ve Bayes vs. Decision Trees vs. Neural Networks in the Classification of Training Web Pages, International Journal of Computer Science Issues, 2009, 4(1), 16–23.

  10. 10.

    Skovajsová L. Text document retrieval by feed-forward neural networks. Information Sciences and Technologies Bulletin of the ACM Slovakia, 2(2):70-78, 2010.

  11. 11.

    Mokriš, I., and Skovajsová, L., Neural Network Model of System for Information Retrieval from Text Documents in Slovak Language, Acta Electrotechnica et Informatica, 2005, 3(5), 1–6.

  12. 12.

    Liu, B., Web Data Mining, Springer-Verlag Berlin Heidelberg, 2008.

  13. 13.

    Mihăescu, C., Algorithms for Information Retrieval Introduction, 2013, http://software.ucv.ro/cmihaescu/ro/teaching/AIR/docs/Lab1-Algorithms%20for%20Information%20Retrieval.%20Introduction.pdf.

  14. 14.

    Mihăescu, C., Algorithms for Information Retrieval Introduction, 2013, http://software.ucv.ro/~cmihaescu/ro/teaching/AIR/docs/Lab1-Algorithms%20for%20Information%20Retrieval.%20Introduction.pdf.

  15. 15.

    Xhemali, D., and Hinde, C.J., and Stone, R.G., Na\({{\ddot{\mathrm{i}}}}\)ve Bayes vs. Decision Trees vs. Neural Networks in the Classification of Training Web Pages, International Journal of Computer Science Issues, 2009, 4(1), 16–23.

  16. 16.

    Liu, T. Y., Learning to Rank for Information Retrieval, 2011, Springer-Verlag Berlin Heidelberg.

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

    Iuliana F. Iatan

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  1. Iuliana F. Iatan
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Iatan, I.F. (2017). Mathematical Aspects of Using Neural Approaches for Information Retrieval. 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_1

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  • DOI: https://doi.org/10.1007/978-3-319-43871-9_1

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