scholarly journals A dual modifier adaptation optimization strategy based on process transfer model for new batch process

2018 ◽  
Vol 51 (18) ◽  
pp. 791-796 ◽  
Author(s):  
Fei Chu ◽  
Jian Shen ◽  
Wei Dai ◽  
Runda Jia ◽  
Xiaoping Ma ◽  
...  
2020 ◽  
Vol 57 (3) ◽  
pp. 565-581 ◽  
Author(s):  
Vincent Chi Wong ◽  
Henry Fock ◽  
Candy K.Y. Ho

Previous research on the effects of celebrity endorsement has focused on the transfer of positive properties (likeableness, credibility, symbolic meanings, etc.) from the endorser to the product. Taking a different perspective, this study suggests that the way in which consumers evaluate an endorser (i.e., the cognitive process, such as applying family origin or achievement as the basis for evaluation) will carry over to the evaluation of the endorsed product (e.g., applying country of origin or performance as the criteria). Five experiments support this process-transfer account and show that it can be induced by subtle verbal/visual cues in advertisements. Because the process transfer is not inherently associated with positive/negative valence, it provides a theoretical rationale for explaining successful endorsements involving endorsers who are less favorable/credible, less of a “fit” with the product, or associated with some negative meanings, in addition to those involving positively or neutrally evaluated endorsers. The process-transfer model supplements existing models and provides a more comprehensive understanding of endorser effects. It provides marketers with a set of less stringent guidelines for selecting endorsers as well as valuable damage control tools for brands when an endorser screws up.


2020 ◽  
pp. 1-11
Author(s):  
Wenjuan Ma ◽  
Xuesi Zhao ◽  
Yuxiu Guo

The application of artificial intelligence and machine learning algorithms in education reform is an inevitable trend of teaching development. In order to improve the teaching intelligence, this paper builds an auxiliary teaching system based on computer artificial intelligence and neural network based on the traditional teaching model. Moreover, in this paper, the optimization strategy is adopted in the TLBO algorithm to reduce the running time of the algorithm, and the extracurricular learning mechanism is introduced to increase the adjustable parameters, which is conducive to the algorithm jumping out of the local optimum. In addition, in this paper, the crowding factor in the fish school algorithm is used to define the degree or restraint of teachers’ control over students. At the same time, students in the crowded range gather near the teacher, and some students who are difficult to restrain perform the following behavior to follow the top students. Finally, this study builds a model based on actual needs, and designs a control experiment to verify the system performance. The results show that the system constructed in this paper has good performance and can provide a theoretical reference for related research.


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