Calculation of fractional derivatives of noisy data with genetic algorithms

被引：0
|
作者：
J. A. Tenreiro Machado
机构：
[1] Institute of Engineering of Porto,Department of Electrical Engineering
来源：
Nonlinear Dynamics | 2009年 / 57卷
关键词：
Fractional derivatives; Fractional calculus; Genetic algorithms; Numerical differentiation;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper addresses the calculation of derivatives of fractional order for non-smooth data. The noise is avoided by adopting an optimization formulation using genetic algorithms (GA). Given the flexibility of the evolutionary schemes, a hierarchical GA composed by a series of two GAs, each one with a distinct fitness function, is established.
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页码：253 / 260
页数：7
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