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Generally local methods are memory-based algorithms, in the sense that they defer data processing until a prediction is required.
Prediction is required to attain some degree of confidence that design and manufacture decisions will yield desired results.
Accurate daily rainfall prediction is required for accurate streamflow prediction, flooding risk analysis, constructing a reliable flood control and early warning system.
Moreover, without iteration, only a single trajectory prediction is required in a correction cycle, which is favorable for on-board calculation.
Given the increasingly stringent emission regulations, an accurate model of emission prediction is required for the aftertreatment systems of diesel engines.
PNNs constitute a parameter-parsimonious approach, based on the removal of redundant parameters from fully connected neural networks; LL, on the other hand, is a local linear prediction algorithm, which performs a local learning procedure each time a prediction is required.
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Therefore, high-fidelity capacity degradation models that are suitable for the task of capacity prediction are required.
Reliable biomarkers for treatment prediction are required for improved individualized treatment.
As a consequence, new approaches that increase confidence in candidate driver prediction are required to generate hypotheses for further study.
This is likely to have contributed to a higher level of agreement than that which may have been observed if a more detailed prediction was required.
Uncertainty assessment of hydrological simulations and predictions is required in order to effectively apply hydrologic theory to the solution of engineering and environmental problems.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com