Chaotic time series analysis.
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Mathematical Problems in Engineering
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Liu, Zonghua (2010)
Mathematical Problems in Engineering
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Aguirre, Luis A., Letellier, Christophe (2009)
Mathematical Problems in Engineering
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Zhaowei, Shang, Lingfeng, Zhang, Shangjun, Ma, Bin, Fang, Taiping, Zhang (2010)
Mathematical Problems in Engineering
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Salazar, Carlos, Torres, Joel, Nieto-Villar, José M. (2003)
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Do Hoai, Nam, Udo, Keiko, Mano, Akira (2011)
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de Oliveira Camargo, Paulo (2009)
Mathematical Problems in Engineering
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S. Monira Sumi, M. Faisal Zaman, Hideo Hirose (2012)
International Journal of Applied Mathematics and Computer Science
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In the present article, an attempt is made to derive optimal data-driven machine learning methods for forecasting an average daily and monthly rainfall of the Fukuoka city in Japan. This comparative study is conducted concentrating on three aspects: modelling inputs, modelling methods and pre-processing techniques. A comparison between linear correlation analysis and average mutual information is made to find an optimal input technique. For the modelling of the rainfall, a novel hybrid...
Vepa, Ranjan (2010)
Mathematical Problems in Engineering
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Bessios, Anthony G., Caimi, Frank M. (1996)
Mathematical Problems in Engineering
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Ewaryst Rafajłowicz, Marek Wnuk, Wojciech Rafajłowicz (2008)
International Journal of Applied Mathematics and Computer Science
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Our aim is to discuss three approaches to the detection of defects in continuous production processes, which are based on local methods of processing image sequences. These approaches are motivated by and applicable to images of hot metals or other surfaces, which are uniform at a macroscopic level, when defects are not present. The first of them is based on the estimation of fractal dimensions of image cross-sections. The second and third approaches are compositions of known techniques,...