A Brief Introduction to Neural Networks

نویسندگان

  • Richard D. De Veaux
  • Lyle H. Ungar
چکیده

Arti cial neural networks are being used with increasing frequency for high dimensional problems of regression or classi cation. This article provides a tutorial overview of neural networks, focusing on back propagation networks as a method for approximating nonlinear multivariable functions. We explain, from a statistician's vantage point, why neural networks might be attractive and how they compare to other modern regression techniques.

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تاریخ انتشار 2002