DocumentCode
288787
Title
Optimization process for fractal dimension estimation
Author
O´Brien, Frank ; Nguyen, Chung T. ; Hammel, Sherry E.
Author_Institution
US Naval Undersea Warfare Center Div., Newport, RI, USA
Volume
5
fYear
1994
fDate
27 Jun-2 Jul 1994
Firstpage
3178
Abstract
An optimization process for estimating fractal dimension with the Grassberger-Procaccia correlation approach (1983) is derived in this paper. It has met with success in the estimation of dimensionality with the known attractors of Lorenz, Van Der Pol and Henon, as well as noisy time-series data. Future work will involve an attempt to employ an artificial neural network for the derived estimator
Keywords
fractals; optimisation; time series; artificial neural network; fractal dimension estimation; noisy time-series data; optimization process; Artificial neural networks; Chaos; Convergence; Fractals; Least squares approximation; Linear regression; Measurement standards; Performance evaluation; Power measurement; State estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location
Orlando, FL
Print_ISBN
0-7803-1901-X
Type
conf
DOI
10.1109/ICNN.1994.374743
Filename
374743
Link To Document