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Concurrently, a neural networks approach was used to develop a corresponding nonlinearmodel.
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Using this nonlinearmodel and analogs of crack problems, we give a plausible resolution to this paradox.
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Materials and methods: The nonlinearmodel captures material nonlinearity by iteratively adjusting tissue-level modulus based on tissue-level effective strain.
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The proposed control strategy is an amalgamation of a neural network and nonlinearmodel predictive control (NPC) technique.
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The proposed control strategy is based on off-line system identification using neural networks (NN's) and nonlinearmodel predictive controller design.
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Analysis of covariance and linear and nonlinearmodel analysis were performed to assess the effect of BMI on fluoroscopy and procedure times.
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But if you have a nonlinearmodel in your head, it might confirm that the number should decline on day 1,001.
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Thirdly, nonlinearmodels were considered as alternatives to the conventional linear regressions.
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We estimated the benefit of LTVV using predictive linear and nonlinearmodels.
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Machine learning opens up a vast new world of nonlinearmodels.
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Exposure risks were evaluated by multivariate distributed lag nonlinearmodels and a meta-regression model.
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Nonlinearmodels are important far beyond the stock market.
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Model analysis was performed by using the actual flow signal as an input to various nonlinearmodels.
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Linear and nonlinearmodels were considered to describe the relationship between risk indices evaluated on SMBG and CGM data.
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These models were either competitive or outperformed other models used already in neuroscience, as Feed Forward Neural Networks and Linear- Nonlinearmodels.
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Distributed lag nonlinearmodels, Pearson's correlation coefficient and wavelet transform coherence were employed to appraise the relationship between meteorological factors and COVID-19 cases.