Dilation method for finding close roots of polynomials based on constrained learning neural networks

Physics Letters, Section A: General, Atomic and Solid State Physics

Volumn 309, Issue 5-6, 2003, Pages 443-451

  Huang, De Shuang ^a,b   Ip, Horace H S ^b   Chi, Zheru ^c   Wong, H S ^b  

^a INSTITUTE OF INTELLIGENT MACHINES   (China)

^b CITY UNIVERSITY OF HONG KONG   (Hong Kong)

^c HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

Close roots; Complex constrained learning algorithm; Dilation; Feedforward neural networks; Polynomials; Root finder

Indexed keywords

COMPLEX NETWORKS; FEEDFORWARD NEURAL NETWORKS; POLYNOMIALS;

CLOSE ROOTS; COMPLEX CONSTRAINED LEARNING ALGORITHMS; CONSTRAINED LEARNING ALGORITHMS; DILATION; LEARNING NEURAL NETWORKS; ROOT FINDER; ROOTS OF POLYNOMIALS; SOLUTION SPACE;

LEARNING ALGORITHMS;

ALGORITHM; ARTICLE; LEARNING; MATHEMATICAL ANALYSIS; MODEL; NERVE CELL NETWORK; SIGNAL PROCESSING;

EID: 0037474728     PISSN: 03759601     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0375-9601(03)00216-0     Document Type: Article

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