Sentence examples for knowledge based approaches from inspiring English sources

Attention is focused upon the analytical approaches that make use of quantitative models, knowledge based approaches using qualitative models as well as approaches using computational intelligence techniques.

Among the reported computer-aided techniques, knowledge based approaches suffer from acquisition of appropriate heuristics whereas mixed integer nonlinear programming formulations are not trivial to generate.

The sensitivity models obtained with the use of experimental design techniques are applicable to planning, operation, and control technologies related to applying knowledge based approaches (in particular, a fuzzy logic based approach) as well as to utilizing optimization approaches.

Due to the serious difficulties of this task, many different scoring functions have been developed which are classically categorised into force field, empirical and knowledge based approaches [3, 4].

So far, the targets for dsRNA based pest control have been identified by small scale screens and on knowledge based approaches, i.e. by testing genes where previous data indicated an essential function.

Knowledge based approach is effective for renovating design and manufacturing processes.

We propose to use a knowledge based approach to assist in mechanical design focusing on dimensional tolerancing.

This improved design is what the tool here described provides, using knowledge based approach for process design and multivariate optimisation and simulation techniques for process optimisation.

This knowledge based approach helped to define an analytical design space that was specific to flow properties and to determine the optimum process parameters for successful quantitation of powder stream.

The proposed scheme is substantiated through a knowledge based approach and relies on Fuzzy Multicriteria Analysis (FMCA), for selecting the best biosensor design that suits both, the target analyte and the operational micro-environment.

These modelling techniques combine prior knowledge based approach in mechanistic model elaboration, and for attainment the enhanced level of adequacy, accuracy and precision carry out the approximation of the exact unknown system model, simultaneously by available mechanistic and polynomial empirical functions.