Sentence examples for predict the influences from inspiring English sources

Exact(6)

To substantially improve operational control of complex industrial plants, it is important to be able to predict the influences which process variables have on quality-relevant target variables.

This study adapts a pedagogical co-competition strategy, creative problem solving (CPS) and Abbreviated Torrance Tests of Creative Thinking for accurately measures creativity to predict the influences of the learning environment.

The two-fluid model is found to be able to predict the influences of the various parameters such as the physical properties of fluids, the operating conditions and the packing characteristics in qualitative agreement with the experimental trends.

Quasi-static tests of the hybrid joints with different fit conditions are implemented, and a three dimensional finite element progressive failure analysis model is proposed to predict the influences of the bolt-hole fit conditions and fastener's preloads on the mechanical behaviors of the joints.

The good consistency of the obtained mechanical responses indicates the potential of using reconstruction models to predict the influences of porous structure on the mechanical properties of low-permeability sandstone.

The aim of this work is to create an ANN model to predict the influences of mix proportion parameters on the resistance of water absorption of ternary blended concrete incorporating NS and RHA which was has not been investigated to the present.

Similar(54)

Unfortunately some of this information has not contributed significantly to our ability to predict the influence of processing or resulted in refined predictive equations.

But, he added, it would be hard to predict the influence of that popularity on the Vatican.

The presented approach can be used to predict the influence of the mandatory sample preparation procedure.

This paper reviews our current ability to predict the influence of processing on food constituents.

The trained models have also been used to predict the influence of different alloying additions on the hardness and modulus.

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