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
Link To Document :
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