Title :
Neural Network Algorithm for the Simultaneous Extraction of All Roots of Algebraic Polynomial
Author :
Zhang Ying ; Zeng Zhe-zhao
Author_Institution :
Railway Traffic Dept., Hunan Railway Prof. Technol. Coll., Zhuzhou, China
Abstract :
In this paper, we construct a neural network iteration method for simultaneous extraction of all roots of algebraic polynomial with variable learning rate. Its convergence was researched. The specific examples showed that the proposed method can simultaneously find all roots of algebraic polynomial at a very rapid convergence and very high accuracy with less computation.
Keywords :
convergence; iterative methods; neural nets; polynomials; algebraic polynomial; convergence; neural network iteration method; Computational intelligence; Convergence; Data mining; Educational institutions; Information security; Iterative methods; Neural networks; Polynomials; Rail transportation; Telecommunication traffic; algorithm; convergence; neural network; roots of algebraic polynomial;
Conference_Titel :
Computational Intelligence and Security, 2009. CIS '09. International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-5411-2
DOI :
10.1109/CIS.2009.78
