Sentence examples for analytical modeling techniques from inspiring English sources

Analytical modeling techniques and finite element methods (FEM) for the estimation of ballistic properties are introduced.

This paper presents primarily the design of the specimen, experimental results, and simplified analytical modeling techniques for Phase I specimen.

Applications of CI techniques have demonstrated superior performance over regression analysis and analytical modeling techniques.

Other sites that used the most advanced aggregating and analytical modeling techniques available had her chances even higher: the New York Times had her odds of winning at 84%, the Princeton Election Consortium had her at 95-99% and ABC News had called that Clinton was a lock for 274 electoral votes -- enough to win -- immediately before voting actually took place.

It is well known that all these regression analysis and analytical modeling techniques, though performing well in their respective applications, do not handle the non-linearity between independent variables and their target values.

In structureing the book, the authors have been careful to provide the reader with a methodological approach to analytical modeling techniques.

This paper describes a methodology based on computational and analytical modelling techniques in the prediction of building internal pressure gain functions.

With the help of empirical or semi-analytical modeling techniques, information obtained at the cellular level is then extrapolated to regional and global scales using data from satellites and ships.

The proposed analytical modeling technique having moisture clog zone is able to predict thermal behavior of normal strength concrete walls under fire with consideration of moisture contents.

This self-contained guide provides comprehensive coverage of all the analytical and modeling techniques currently in use, from classical non-state and state space approaches, to newer and more advanced methods such as binary decision diagrams, dynamic fault trees, Bayesian belief networks, stochastic Petri nets, non-homogeneous Markov chains, semi-Markov processes, and phase type expansions.

Traditionally, health departments have not had access to advanced computational facilities, but certainly they could benefit from using advanced analytical and modeling techniques.