Sentence examples for forecasting implementation from inspiring English sources

Exact(1)

Because the iterative algorithm for the simultaneous estimation of the background and model parameters involves heavy calculations, off-line optimization and on-line forecasting implementation are used to alleviate the computational costs.

Similar(59)

In forecast implementation, for each given set of t2 and t3, we equated t1 to t2 and asked the testing center to provide a JMA catalog that contained earthquakes up to t1 (= t2) as the input information.

The group was facilitated through an action research approach incorporating three phases: (1) awareness; (2) forecasting; and (3) implementation.

This paper presents an analytic hierarchy prediction model based on the consistent fuzzy preference relations to help the organizations become aware of the essential factors affecting the success of Knowledge Management (KM) implementation, forecasting the possibility of successful KM project, as well as identifying the actions necessary before initiating KM.

As the program increased supervision, surveillance and program data quality improved, facilitating more effective logistical and technical forecasting, planning, and implementation.

This paper ends with a forecast for continuative implementation work and open research questions.

The mean values of the forecast range without program implementation (left) are compared to the lower forecast variants (right) with the program deployment.

Illustration of the "off-line optimization and online forecasting" scheme for the implementation of the ETAS model in CSEP.

As a result of the aforementioned works, the Health and Social Care Modelling Group (HSCMG) in collaboration with the Care Services Efficiency Delivery (CSED, Department of Health) developed a software implementation of the forecasting framework [ 10], known as FLoSC (Forecasting Length-of-Stay and Cost) (cf. http://www.healthcareinformatics.org.uk/flosc/).uk/flosc/

The load forecasting is performed through the implementation of an artificial neural network (ANN).

To this end, the development and implementation of several forecasting methods will be discussed.

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