Sentence examples for approximation concepts from inspiring English sources

Approximation concepts are used to construct high quality approximations of dynamic responses during the optimization process.

Some approximation concepts, intended to reduce the computational effort during optimization of structural systems, are presented.

Robust stability and LTI approximation concepts are studied here in a nonlinear systems context.

The approximation concepts approach is used to solve the optimization problem.

To a first approximation, concepts are constituents of thoughts or propositions in much the same way that words are constituents of the sentential complements by which thoughts or propositions are expressed.

Approximation concepts are used to construct high quality approximations of dynamic responses in terms of the design variables and uncertain structural parameters during the design process.

For the approximation of concepts, we will have: ((overline {C})^{I} = left { a in Delta ^{I} mid exists b left ((a,b) in R^{sim } wedge b in C^{I}right) right }), ((underline {C})^{I} = left { a in Delta ^{I} mid forall b left ((a,b) in R^{sim } rightarrow b in C^{I}right)right }).

Dominance-based Rough Set Approach (DRSA) is an effective mathematical tool to obtain approximations of concepts and discovery knowledge from ordered data.

The approximation synthesis of concepts from the acquired data is the main objective of the rough set analysis [33].

In this paper, refining a concept means to apply a lower (restriction of a concept) or an upper (relaxation of a concept) approximation.

This paper proposes a brain-inspired cognitive architecture that incorporates approximations to the concepts of consciousness, imagination, and emotion.