Novel calculation model of CO2 solubility in polymers using a hybrid intelligence algorithm.

No abstract

A novel model based on a radial basis artificial neural network and bare‐bones particle swarm optimization tuned with adaptive disturbance factor for predicting the performances of starch‐based foam materials was established. The ethylene–vinyl acetate/starch mass ratio, glycerin content, and NaHCO3 content were used as the input variables, whereas the tensile strength and rebound rate were taken as the output variables of the model. The prediction results show that model predictions were in great accordance with the experimental values. The root mean square error of prediction and the correlation coefficients were 0.0256 and 0.9873; this indicated the good performance of the model. The model predicted that the tensile strength of the starch‐based foam materials would decrease slowly with increasing glycerin content and showed a V‐shaped variation with increasing NaHCO3 content. The rebound rate increased with increasing glycerin content and presented an inverted V‐shaped variation with increasing NaHCO3 content. The predicted results were consistent with the experimental results. © 2016 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2016, 133, 44252.

A series of three experiments were conducted to investigate the relation between shifts of attention in depth and subjects' visual performance or peripheral environment luminance in three-dimensional (3-D) space. Previous researchers have examined various aspects of shifts of visual attention in 3-D space. However, there were few studies to study the relationship of depth attention and peripheral environment luminance. Firstly, visual function performance of subjects was tested by means of visual measurement apparatus in experiment 1, and experimental data was divided into two groups. And then, mean reaction time (RT) of subjects was examined by changing peripheral environment luminance using a semi-realistic setting, the depth attention experiment apparatus in experiment 2. Finally, changing forecast degree examination was conducted to subjects with low visual adaptability in order to reveal the relation between delay of reaction time and forecast degree in experiment 3. The major results was shown that (1) visual performance of subjects had an individual difference; (2) shifts of attention from far space to near space was faster than the reverse under each different condition; (3) the training for visual adaptive ability can improved visual performance of subjects.