Sentence examples for methods and principal from inspiring English sources

For the historical development of the different sciences and their scope, component disciplines, methods, and principal problems, see physical science; Earth sciences; biology; medicine, history of; engineering; social science.

Other studies have employed centerline tracing methods and principal curves[19, 20].

The method is demonstrated on two numerical applications previously analyzed by Mareschal and Brans [B. Mareschal, J.P. Brans, European Journal of Operational Research 34 (1988) 69 77] using the Promethee methods and Principal Component Analysis.

This conversion enables the comparison of different non-linear features, yet also allows us to use the linear modeling tools such as least square methods and principal component analysis.

This research limits itself on two methods, namely the correlation-based feature selection method and principal component analysis-based feature extraction method.

The Taguchi method and principal component analysis (PCA) are then adopted to determine the best combination of process parameters with a two-layered induction coil.

To overcome the severe dyes spectral overlapping, derivative spectrophotometric method and principal component analysis-artificial neural network (PCA-ANN) were successfully applied for the simultaneous determination of AY41 and SY in their binary solutions.

In addition, the Taguchi method and principal component analysis were applied to determine the optimal combination of control factors for achieving a high heating rate and low temperature deviation.

In this study, we integrated the Taguchi method and principal component analysis (PCA) to optimize the multiple quality characteristics (RI and MTF) of this U-type projector lens.

In this paper, the Taguchi method and principal component analysis (PCA) are used to improve the mechanical properties of recycled polypropylene (PP) blends in injection moulding procedure, with detailed assessments performed on each method and comparison was made based on results of both the methods.

To fill this gap, three different feature engineering approaches, namely exploratory data analysis (EDA) as a feature visualization method, random forest (RF) as a feature selection method and principal component analysis (PCA) as a feature extraction method, are investigated in the paper.