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Significados de nonlinear model em inglês
Sinônimos
Examples for "non-linear model"
Examples for "non-linear model"
1
Results demonstrate the superiority of our non-linear model over the traditional linear method.
2
Our non-linear model was found to be superior to a conventional linear model.
3
This non-linear model comprises of integer-order differential equations.
4
We also show the benefits of using a non-linear model over a linear model, particularly in the case of repression.
5
Although CP was calculated using a linear and a three-parameter non-linear model, there were insufficient suitable data to complete the latter analysis.
Uso de nonlinear model em inglês
1
Concurrently, a neural networks approach was used to develop a corresponding nonlinear model.
2
Using this nonlinear model and analogs of crack problems, we give a plausible resolution to this paradox.
3
Materials and methods: The nonlinear model captures material nonlinearity by iteratively adjusting tissue-level modulus based on tissue-level effective strain.
4
The proposed control strategy is an amalgamation of a neural network and nonlinear model predictive control (NPC) technique.
5
The proposed control strategy is based on off-line system identification using neural networks (NN's) and nonlinear model predictive controller design.
6
Analysis of covariance and linear and nonlinear model analysis were performed to assess the effect of BMI on fluoroscopy and procedure times.
7
But if you have a nonlinear model in your head, it might confirm that the number should decline on day 1,001.
8
Thirdly, nonlinear models were considered as alternatives to the conventional linear regressions.
9
We estimated the benefit of LTVV using predictive linear and nonlinear models.
10
Machine learning opens up a vast new world of nonlinear models.
11
Exposure risks were evaluated by multivariate distributed lag nonlinear models and a meta-regression model.
12
Nonlinear models are important far beyond the stock market.
13
Model analysis was performed by using the actual flow signal as an input to various nonlinear models.
14
Linear and nonlinear models were considered to describe the relationship between risk indices evaluated on SMBG and CGM data.
15
These models were either competitive or outperformed other models used already in neuroscience, as Feed Forward Neural Networks and Linear- Nonlinear models.
16
Distributed lag nonlinear models, Pearson's correlation coefficient and wavelet transform coherence were employed to appraise the relationship between meteorological factors and COVID-19 cases.