The case for abandoning the biological resemblance restriction: an example of neural network solution of simultaneous equations

TitleThe case for abandoning the biological resemblance restriction: an example of neural network solution of simultaneous equations
Publication TypeConference Paper
Year of Publication1990
AuthorsShi, P., and R. K. Ward
Conference NameNeural Networks, 1990., 1990 IJCNN International Joint Conference on
Pagination875 -882 vol.3
Date Publishedjun.
Keywordsbiological resemblance restriction, computational approaches, Hopfield network, neural nets, neural network solution, simultaneous equations
Abstract

The authors construct, in an easy and straightforward way, a nonbiological neural network which solves any system of simultaneous equations. This network is inspired by the Hopfield network; however, its performance is far better than the Hopfield network. The authors show the potential of abandoning the restriction of biological resemblance in the computational approach and the essential difference between the biological and the computational approaches. It is concluded that the biological and the computational approaches have their own rightful places in the field of neural networks. While the biological approach may result in deeper understanding of the human brain, the computational approach may produce machines which are more powerful than the human brain, and each approach can benefit from the progress of the other

URLhttp://dx.doi.org/10.1109/IJCNN.1990.137945
DOI10.1109/IJCNN.1990.137945

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