Sentence examples for a dynamic cost from inspiring English sources

A dynamic cost model of Levenshtein distance is used to compute the accuracy of each word token.

Alternatively, we set a target queue length Qn,target for each user, and correspondingly a dynamic cost index V n (t) for each user.

We use an agent-based model to analyze different spatial metrics and their implications on land use decisions in a dynamic cost environment.

Local material and labour costs were determined and a dynamic cost analysis was carried out to compare the technological options in terms of amortisation times and prime costs.

Here, using a cost sensitive decision tree with a dynamic cost matrix decreases misprediction costs by almost two orders of magnitude than the baseline of no external data, naive model.

In order to achieve a specific delay performance, the cost constant V is replaced by a dynamic cost index V t), which is updated based on a "Total queue length" Ψ ( t ) = ∑ n = 1 N Q n ( t ), as follows, V ( t ) = V ( t − 1 ) + δ ( Ψ target − Ψ ( t ) ), (11).

Here, this effect was apparent when groups were large, indicating a dynamic cost-benefit relationship between competition and cooperation shaped by the degree of competition (group size) and genetic composition of the group [ 27].

To promote a further development of distributed generation, this paper establishes dynamic subsidy models for photovoltaic distributed generation from the aspect of the emission reduction benefit, based on a dynamic generation cost simulation, which is combined with the learning curve of cost.

Thus, the dynamic cost should attain a minimum precisely at E ˙ = - μ, and the dynamic cost should take the form E ˙ + μ 2. Upon writing an explicit cost function that combines the static and dynamic components, and performing a Taylor expansion (see Materials and Methods for further details), we obtain an effective instantaneous cost.

Objective function of the proposed model presents a major novelty in the economic dispatch modeling, namely: dynamic cost coefficient, which is computed using fuzzy logic considering both the variable nature of wind velocity and power demand.

As a result, the proposed method not only provides an accurate cost allocation output but also presents the dynamic cost of the flows within each component.