Sentence examples for influence in predicting from inspiring English sources

It builds up on the artificial neural networks modelling work, explores its application in pattern recognition and interprets its influence in predicting customer behaviour.

Some intraoperative and preoperative factors may have an important influence in predicting early extubation and determining strategies to optimize postoperative therapy.

f_{s} (x^{prime }) = frac{{S_{hbox{max} } }}{R}{text e}^{{ - (x^{prime }/R)^{2} }} (1). Figure 1 shows the proposed scheme of applying influence function method in predicting final surface subsidence caused by longwall mining in an inclined coal seam.

Halepete et al. (2009) summarized that consumers' attitudes towards personalization of apparel was positively related to the purchase intention of personalized fair trade apparel, and Wu et al. (2015) confirmed the influence of SN in predicting consumers' purchase intention in an online MC context.

The second theme builds further on examining the role of SRH and the influence of disability in predicting mortality using the conventional Cox proportional hazards modeling approach (16).

Specifically, to first examine whether the influence of family conflict in predicting depressive symptoms is increased in individuals at genetic risk of depression.

The influence of key parameters in predicting seismic fragility, such as the number of storeys and the age of construction, is illustrated.

In order to simulate the influence of these alterations in predicting or evaluating CBM production, new porosity and permeability models used for reservoir and geomechanical coupled simulation have been established in this paper.

The positive influence of role belief in predicting doctors' behaviour had been reported before in the area of technology of information [ 24].

Experimental results show that our solutions are effective and efficient in computing and in predicting facility influence under large-scale cyber-physical vehicles.

We then investigated the influence of individual brain regions in predicting clinical outcome.