Solution of differential-algebraic equation systems using neural networks

被引：3

作者：

Samath, J. Abdul ^{[1
]}

Balasubramaniam, P. ^{[2
]}

机构：

[1] Sri Krishna Coll Engn & Technol, Dept Comp Applicat, Coimbatore 624302, Tamil Nadu, India

[2] Gandhigram Rural Univ, Dept Math, Gandhigram 624302, Tamil Nadu, India

来源：

ICCIMA 2007: INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND MULTIMEDIA APPLICATIONS, VOL I, PROCEEDINGS | 2007年

关键词：

D O I：

10.1109/ICCIMA.2007.49

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：3 / +

页数：2

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