DocumentCode
494425
Title
A Neural Network Algorithm for Solving Nonlinear Equations
Author
Zeng, Zhezhao ; Lin, Dongmei ; Zheng, Lulu
Author_Institution
Coll. of Electr. & Inf. Eng., Changsha Univ. of Sci. & Technol., Changsha
Volume
1
fYear
2008
fDate
21-22 Dec. 2008
Firstpage
659
Lastpage
662
Abstract
In this paper, we proposed a neural network algorithm for solving nonlinear equations. The convergence of algorithm proposed was researched. The convergence theorem provides the theory criterion selecting learning rate of neural network. The specific examples showed that the proposed method can solve nonlinear equations at a very rapid convergence and very high accuracy with less computation.
Keywords
convergence of numerical methods; neural nets; nonlinear equations; convergence of algorithm; convergence theorem; neural network algorithm; nonlinear equations; theory criterion; Algorithm design and analysis; Convergence; Educational institutions; Educational technology; Geoscience and remote sensing; Iterative algorithms; Iterative methods; Neural networks; Newton method; Nonlinear equations; Neural network; algorithm; convergence; nonlinear equations;
fLanguage
English
Publisher
ieee
Conference_Titel
Education Technology and Training, 2008. and 2008 International Workshop on Geoscience and Remote Sensing. ETT and GRS 2008. International Workshop on
Conference_Location
Shanghai
Print_ISBN
978-0-7695-3563-0
Type
conf
DOI
10.1109/ETTandGRS.2008.330
Filename
5070242
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