Sentence examples for modeling the problem from inspiring English sources

With properly modeling the problem and applying machine learning algorithm, our method can accurately predict the optimal decision on CU splitting instead of exhaustive searching over all possibilities.

For modeling the problem we need to present the indices, parameters, and variables which are introduced in Tables 1, 2 and 3 respectively.

The development of the algorithms begins by modeling the problem data as a bipartite graph Gb of documents and words (see Figure 1).

The expected value and the chance measure of fuzzy random variable are introduced for modeling the problem under different decision-making criteria.

(Burmeister et al. 1997) conclude that agent-based modeling reduce the complexity in systems design by making available abstraction levels that lend themselves to a more natural way of modeling the problem domain.

In fact, numerical modeling of the evolution of progressive failure leading to collapse in tunnels is a quite complicated matter and requires great care in modeling the problem and interpretating the results.

IU and SS modeled the problem.

Firstly, model the problem as an optimization problem.

The following assumptions employed to model the problem: 1.

There is no attempt to linearly model the problem.

Firstly, C/E System is used to model the problem.