Solving polynomial systems using a fast adaptive back propagation-type neural network algorithm

K. GOULIANAS, A. MARGARIS, I. REFANIDIS, K. DIAMANTARAS
  • European Journal of Applied Mathematics, June 2017, Cambridge University Press
  • DOI: 10.1017/s0956792517000146

An efficient way to solve systems of polynomial equations using a back propagation neural network

What is it about?

The ability to solve systems of polynomial equations is considered important since this type of equations is very common to many areas of science and technology .... the paper describeσ the adaptation of a general purpose feed forward neural network that uses a back propagation algorithm for solving such systems .... the paper contains a lot of simulation examples that demostrate the application of this approach.

Why is it important?

The simulator has the ability to solve any type of polynomial systems with very high precision

The following have contributed to this page: Dr Athanasios I Margaris

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