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This chapter discusses the computational nonlinear models.
Adaptation of nonlinear models can be performed on different levels.
Then some new linear and nonlinear models have appeared.
This can also be carried out for nonlinear models (2).
This approach is even suitable for highly nonlinear models.
The nonlinear models generally outperformed MLR, and BNN tended to slightly outperform the other nonlinear models.
Nonlinear models render any inferences from physics to metaphysical determinism shaky at best.
In the context of nonlinear models, faithfulness appears to be inadequate (§3).
This is not the case for nonlinear models.
The approach can be generalized to fully nonlinear models.
Detailed nonlinear models of industrial accumulators are first given.
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