Sentence examples for input data requirements from inspiring English sources

The phrase "input data requirements" is correct and usable in written English.
You can use it when discussing data needed to complete a certain task. For example, "We must define the input data requirements before beginning the project."

Exact(15)

The data assimilation procedure is theoretically based on the Bayesian updating paradigm and is meant to be pragmatic with modest computational and input data requirements.

In each example, a work-item computes the result of a single output element for the problem, although the input data requirements vary.

The models were evaluated in terms of general ease of use, input data requirements and accuracy of process understanding and prediction.

The multimedia fate/transport models within TREECS™ are mathematical models of reduced form (e.g., reduced dimensionality) that allow rapid application with less input data requirements compared with more complicated models.

This study examines the effect that reducing input data requirements of the ARM has on the accuracy of the methodology and comments on the trade-off between model simplification and accuracy.

The formulation is designed to operate in sequence with traditional vehicle task assignment models, to add emissions and long term financial cost elements to the objective, while maintaining computational tractability and feasible input data requirements.

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Similar(45)

The final model is the one that best explains acreage with the minimum input data requirement.

This enables us to select the model that provides the best prediction power (high explanatory power) with minimal input data requirement.

This paper introduces a novel network demand estimation framework consistent with the input data structure requirements of Multi-Agent Transport SiMATSimon (MATSim).

The Fast K-means algorithm is suited to large datasets but for a good clustering algorithm addressing large datasets, cluster efficiency and inter-cluster and intra-cluster measures should be considered apart from execution times and should be scaled up to meet input data size requirements.

But due to significant input data and calibration requirements, the reliability models suffer from practicality issues.

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