Solving the Real Roots of Polynomials using Neural Networks

T.-M. Lin (Taiwan)

Keywords

Linear Networks, Real Roots, Neural Network

Abstract

In this paper, we propose a linear neural network to find the solution of polynomial with one variable. In essence, this network model is somewhat similar to the neural network based factorization model. However, it is a specific model with superior computing properties, which can generate all real roots corresponding to the polynomial with one variable. In addition, a preprocessing method to separate different real roots is also presented in this paper. Finally, several computer simulation results support our claims.

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