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from adataset of data pairs to models.
The lack of data pairs is addressed by transforming the model-training problem into a dynamic system parameter identification problem.
Ordinary least squares and the simple arithmetic mean methods are obtained for scatter plots of data pairs and different trends are fitted to the data.
From the cross wavelet transform of data pairs, it is seen wind speed and solar radiation have an anti-phase correlation, implying that wind and solar energy can be used in complementary roles in electricity generation in this region.
In this paper, we have proposed an ANFIS based system modelling where the number of data pairs employed for training is minimized by application of an engineering statistical technique called full factorial design.
To control the interconnection as well as the heterogeneity of rocks upon area as well as vertical direction, the correlation of data pairs was included in the survey (variograms) in the main direction, toward the sub-direction and vertical direction.
Similar(37)
According the normality of data, paired Student's t test and Wilcoxon signed rank test were utilized to determine differences pre and post training.
However, when facing semi-paired and semi-supervised multi-view data which widely exist in real-world problems, CCA usually performs poorly due to its requirement of data pairing between different views and un-supervision in nature.
Results: A total of 400 data pairs for CO were obtained.
A total of 162 data pairs were found for the period May 2001-June 2007.
An analysis of 120 data pairs revealed that PiCCO yielded similar CO measurements to TTE (p > 0.05).
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Justyna Jupowicz-Kozak
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