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This kind of model integration is useful for landslides prediction and early warning.
This kind of model can be useful in analyzing flexible single-link manipulations for laboratory tests.
This kind of model may be used for nonlinear MIMO (multi-input, multi-output) type of control strategies.
This kind of model usually has short computing time requirements, which is critical for the optimization mode.
This kind of model can help people feel good about their purchases.
This kind of model can describe the population dynamics in more detail.
This kind of model assumes that the values are identical for all observations.
This kind of model is applicable to RC elements with rectangular cross-section.
This kind of model emphasizes in evaluating performance of controller and estimation algorithm in real-time.
This kind of model is common in artificial intelligence research and cognitive science (e.g. (Sun R 2006)).
This kind of model is trained in a given noise environment, and is only tested in the same environment.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com