A Neural Network Algorithm for Solving Nonlinear Equations

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 solv...

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Bibliographic Details
Published in2008 International Workshop on Education Technology and Training & 2008 International Workshop on Geoscience and Remote Sensing Vol. 1; pp. 659 - 662
Main Authors Zhezhao Zeng, Dongmei Lin, Lulu Zheng
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2008
Subjects
algorithm
Algorithm design and analysis
Convergence
Educational institutions
Educational technology
Geoscience and remote sensing
Iterative algorithms
Iterative methods
Neural network
Neural networks
Newton method
Nonlinear equations
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Summary: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.
ISBN:9780769535630
0769535631
DOI:10.1109/ETTandGRS.2008.330