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What are artificial neural networks?

Artificial neural networks have been applied to problems ranging from speech recognition to prediction of protein secondary structure, classification of cancers and gene prediction. How do they work and what might they be good for?

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Figure 1: Artificial neural networks.

References

  1. Minsky, M.L. & Papert, S.A. Perceptrons (MIT Press, Cambridge, 1969).

    Google Scholar 

  2. Rumelhart, D.E., Hinton, G.E. & Williams, R.J. Nature 323, 533–536 (1986).

    Article  Google Scholar 

  3. Sejnowski, T.J. & Rosenberg, C.R. Complex Systems 1, 145–168 (1987).

    Google Scholar 

  4. Qian, N. & Sejnowski, T.J. J. Mol. Biol. 202, 865–884 (1988).

    Article  CAS  PubMed  Google Scholar 

  5. Anderson, J.A. & Rosenfeld, E. (eds). Neurocomputing: Foundations of Research (MIT Press, Cambridge, 1988).

    Google Scholar 

  6. Bishop, C.M. Neural Networks for Pattern Recognition (Oxford University Press, Oxford, 1995).

    Google Scholar 

  7. Noble, W.S. Nat. Biotechnol. 24, 1565–1567 (2006).

    Article  CAS  PubMed  Google Scholar 

  8. Bishop, C.M. Pattern Recognition and Machine Learning (Springer, New York, 2006).

    Google Scholar 

  9. Hertz, J.A., Krogh, A. & Palmer, R. Introduction to the Theory of Neural Computation (Addison-Wesley, Redwood City, 1991).

    Google Scholar 

  10. Duda, R.O., Hart, P.E. & Stork, D.G. Pattern Classification (Wiley Interscience, New York, 2000).

    Google Scholar 

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Krogh, A. What are artificial neural networks?. Nat Biotechnol 26, 195–197 (2008). https://doi.org/10.1038/nbt1386

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