nonlinear models การใช้
- Nonlinear models for binary dependent variables include the logit model.
- That article links to the more complex, nonlinear models.
- Its scopes include nonlinear models of individual neurons and networks.
- His dissertation was titled " Some nonlinear models in quantum mechanics ".
- Various forms of block structured nonlinear models have been introduced or re-introduced.
- We created a nonlinear model and made some predictions about how the switch would behave in a cell,
- The process can be controlled with nonlinear MPC that uses a nonlinear model directly in the control application.
- The nonlinear model may be linearized to derive a Kalman filter or specify a model for linear MPC.
- However, if the process is highly complex and nonlinear, subject to frequent disturbances, a nonlinear model will be required.
- With the use of linear and nonlinear Confirmatory Factor Analysis, it is showing that the nonlinear model best described the data.
- The values in "'A "'determined in this manner need to be substituted into the nonlinear model to assess improvements in the model errors.
- The nonlinear model suggests that as " g " increases, the " s " factor lowers the overall score and inaccurately represents general intelligence.
- The simulation or optimization mode is also configurable to reconfigure the model for dynamic simulation, nonlinear model predictive control, moving horizon estimation or general problems in mathematical optimization.
- There are some other instances where " nonlinear model " is used to contrast with a linearly structured model, although the term " linear model " is not usually applied.
- Nonlinear Model Predictive Control, or NMPC, is a variant of model predictive control ( MPC ) that is characterized by the use of nonlinear system models in the prediction.
- Surprisingly, this fully nonlinear model can be solved exactly, in the infinite-" N " limit, with a clever transformation and the application of self-consistency arguments.
- On February 8, 2005 for the series of works on subject Nonlinear models of crystallization and deformation of polycrystals, meso-and macrolevel Trusov was awarded with first degree Alexandr Pozdeyev Award.
- The nonlinear model may be in the form of an empirical data fit ( e . g . artificial neural networks ) or a high-fidelity dynamic model based on fundamental mass and energy balances.
- A nonlinear ? model with G / H as the target manifold with a " G "-invariant Riemannian metric and a zero potential is called a quotient space ( or coset space ) nonlinear model.
- In this latter case, it is possible that the linear model may not be very useful, and there would be a nonlinear model relating the observed value of Y _ { t } to its past evolution.
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