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The tested identification models are linear and belong to ARMAX class.
Most existing aeroelastic models are linear models based on assumption of small blade deflections.
The proposed models are linear and independent of the α-cut variables.
The proposed OSD DEA models are linear programs, and thus can be solved by the standard LP solvers to obtain DMUs' optimal designs.
It is shown that the information matrices of maximal parameter subsystems in linear models are linear functions of the moment matrices.
When the state and observation models are linear and Gaussian, filtering can be solved explicitly using the Kalman filter [18].
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The model was linear with insignificant (P > 0.05) curvature.
Within this displacement range, the regression model was linear.
The two networks did, however, differ as the recency test model was linear while the recency control model had multiple pathways emerging from the perirhinal cortex.
The decoding complexity with these models is linear with the sequence length.
Another list of predictive models is linear models, decision trees, neural networks, clusters models, support vector machines, expert systems.
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