DocumentCode
3140071
Title
Can we work around Complex Numerical Methods? An Insight
Author
Chandana, Sandeep ; Mayorga, Rene V.
Author_Institution
Fac. of Eng., Regina Univ., Sask.
fYear
2006
fDate
38838
Firstpage
2120
Lastpage
2123
Abstract
This paper aims to provide an insight into the concept of doing away with complex numerical methods; the authors propose a generalized neural approximator based replacement for numerical methods. The presented work outlines a non-conventional (and non-numerical) technique of analyzing the stability thresholds for one type of self-sustaining oscillations. The revered van der Pol equation has been studied in this work with an intention to predict an accurate stability criterion under the effect of a set of parameters and estimation techniques with the help of a novel neural network based approximation module. Such a system, for the presented case, boasts of generalized approximation capability and of a relatively flexible-easy-to-alter method
Keywords
inference mechanisms; mathematics computing; neural nets; numerical stability; uncertainty handling; complex numerical methods; estimation techniques; neural approximator based replacement; neural network based approximation module; nonconventional technique; self-sustaining oscillations; stability thresholds; Computer networks; Differential equations; Electron tubes; Laboratories; Modems; Neural networks; Parameter estimation; Resistors; Stability analysis; Stability criteria; Neural Networks; Numerical Methods; Self-Sustaining Oscillations; Stability Threshold;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Computer Engineering, 2006. CCECE '06. Canadian Conference on
Conference_Location
Ottawa, Ont.
Print_ISBN
1-4244-0038-4
Electronic_ISBN
1-4244-0038-4
Type
conf
DOI
10.1109/CCECE.2006.277425
Filename
4054853
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