DocumentCode :
469250
Title :
Solution of Differential - Algebraic Equation Systems Using Neural Networks
Author :
Samath, J. Abdul ; Balasubramaniam, P.
Author_Institution :
Sri Krishna Coll. of Eng. & Technol., Coimbatore
Volume :
1
fYear :
2007
fDate :
13-15 Dec. 2007
Firstpage :
3
Lastpage :
8
Abstract :
In this paper, the solution of differential algebraic equations (DAES) is obtained using neural networks. The goal is to obtain accurate solution with reduced calculus effort by comparing the solution of the DAES obtained from Pade approximation and neural network method, the solution of DAE system is computed by feedforward neural network (FFNN). The solution of the neural network approach to this problem is very close to the exact solution. An illustrative numerical method is presented for the proposed method.
Keywords :
approximation theory; differential algebraic equations; feedforward neural nets; Pade approximation; differential-algebraic equation systems; feedforward neural network; Artificial neural networks; Biological system modeling; Chemical engineering; Computer networks; Differential algebraic equations; Differential equations; Electronic mail; Feedforward neural networks; Neural networks; Nonlinear equations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Conference on Computational Intelligence and Multimedia Applications, 2007. International Conference on
Conference_Location :
Sivakasi, Tamil Nadu
Print_ISBN :
0-7695-3050-8
Type :
conf
DOI :
10.1109/ICCIMA.2007.49
Filename :
4426544
Link To Document :
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