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Two Methods for Solving Linear Equations Using Neural Networks

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Abstract

The problem to be considered is to create a circuit able to solve the system of linear equations

$$ Dv = b $$
((1))

where D is a nonsingular n × n matrix of real constant coefficients, v ∈ R n is the vector of variables, and bR n the vector of real constant coefficients.

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References

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© 1994 Springer Science+Business Media New York

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Styblinski, M.A., Minick, J.R. (1994). Two Methods for Solving Linear Equations Using Neural Networks. In: Delgado-Frias, J.G., Moore, W.R. (eds) VLSI for Neural Networks and Artificial Intelligence. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-1331-9_22

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  • DOI: https://doi.org/10.1007/978-1-4899-1331-9_22

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4899-1333-3

  • Online ISBN: 978-1-4899-1331-9

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