... aside one of the test datasets to assess the performance of the two proposed bias prediction strategies. Simulation models are commonly used for prediction in domains where experimental observations are not available. This is especially true for time series input/output relationships where...

...Benjamin Bizjan; Brane Širok; Edvard Govekar Once velocity fields of v  = ( v x , v y ) were calculated within the window of interest, we calculated a spatial average of v y for every image in sequence and formed discrete one-dimensional time series with 2470 points and a sampling rate...

...Shuyong Liu; Zhu Shijian; Yang Qingchao; He Qiwei In order to identify experimental chaotic vibration signals correctly, the measured data were analyzed by applying the methods of Poincaré section, return map, and phase space reconstruction. However, the nonlinear time series analysis based...

...M. D. Narayanan; S. Narayanan; Chandramouli Padmanabhan The use of a time series, which is the chaotic response of a nonlinear system, as an excitation for the parametric identification of single-degree-of-freedom nonlinear systems is explored in this paper. It is assumed that the system response...