Research Output
Neural networks in measurement and control
  A brief overview of neural network is presented. Neural networks have certainly made an impact, and it is now at the stage of getting past the initial hype to see the sort of tasks that neural network are really suited to. There is no doubt that neural networks can solve many problems, but there is also little doubt that there are large number of relatively straightforward problems for which neural network are really are overkill.

  • Type:

    Article

  • Date:

    30 September 1995

  • Publication Status:

    Published

  • Publisher

    Institute of Measurement and Control

  • DOI:

    10.1177/002029409502800703

  • Cross Ref:

    10.1177/002029409502800703

  • ISSN:

    0020-2940

  • Library of Congress:

    TK Electrical engineering. Electronics Nuclear engineering

  • Dewey Decimal Classification:

    621.3822 Signal processing

Citation

Armitage, A. (1995). Neural networks in measurement and control. Measurement and Control, 28(7), 208-215. https://doi.org/10.1177/002029409502800703

Authors

Keywords

neural networks; measurement; control; Hopfield network; multilayer perception; processing elements; radial basis functions; sigmoid function; supervised learning; threshold function;

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