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Methods of analysis of neural nets

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Abstract

Two general methods of analysis of neural nets are developed in terms of elementary matrix algebra. These methods offer a complete description of the behaviors of neural nets with relative ease. As an example, the special case of two neurons is completely solved. This case may be of interest in the consideration of two interacting quantities of any type, e.g. economic, psychiatric, neuronic, etc.

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Authors and Affiliations

  1. Laboratorio di Cibernetica del C.N.R. Arco Felice, Napoli, Italia

    E. R. Caianiello & W. E. L. Grimson

  2. Dept. of Mathematics, University of Regina, S 450 A 2, Regina, Canada

    W. E. L. Grimson

Authors
  1. E. R. Caianiello
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  2. W. E. L. Grimson
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Caianiello, E.R., Grimson, W.E.L. Methods of analysis of neural nets. Biol. Cybernetics 22, 1–6 (1976). https://doi.org/10.1007/BF00340227

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  • DOI: https://doi.org/10.1007/BF00340227

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