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Finally, its performance on a more complex nonlinear CSTR case study is discussed.
If this cannot be not rejected, then there is a question over the use of more complex, nonlinear models for forecasting.
This paper will improve the lower bounds (experimental bounds) for Gaussian spread spectrum fingerprinting, by identifying more complex nonlinear attacks, which are more effective than those originally studied.
Since this dataset is very challenging, we believe our method can achieve a better result by using a more complex nonlinear classifier learned from a supervised way.
This second part shows that the same approach can be extended to the general case providing that a somewhat more complex, nonlinear algorithm, is acceptable.
Conversely, the newly developed elements introduced in this paper can precisely model RC members by accounting for their more complex nonlinear material behaviour under reversed cyclic loads.
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More complex or nonlinear combinations of the single factors would be possible, but the analyzed data do not justify an exponential, logarithmic, or nonequal weighted combination.
However, on the Real Blur Database, where the blurs are more complex, possibly nonlinear, and spatially variant, blur perception is more complex and probably more correlated with content (e.g., what is blurred in the image?).
Moreover, the ANN models combine the information obtained from the selected features to represent a more complex and nonlinear (except for Perceptron-type ANNs) relationship between molecular structure and activity than is suggested by the inherently linear descriptor ranking.
These changes would make the correlation equation more complex and nonlinear in optimized coefficients, but the number of independent variables would not increase.
The situation becomes even more complex and nonlinear when considering how nonsense and missense errors along with various factors influencing pausing time costs combine to affect η.
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