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evaluating the education value of video games is a complex task. Based on the educational evaluation system for video games, we establish a corresponding automated evaluation model using the Back-propagation (BP) neural network technology. After training with the expert knowledge, the model not only has the experience of experts, but also has the computational capacity to evaluate new cases.
Based on the fairness and benefits of the opportunity to accept higher education, tuition should be paid. The average cost of higher education and the ability of tuition paid which are determined by the average income are two fundamental basics for making the standard of tuition. In order to research the standard of tuition, the paper focuses on two issues: What is the acceptable range of tuition...
This paper proposed a LDA-based cross-language retrieval model that did not rely on word-by-word translation of query or document. Instead, a parallel corpus was used to estimate a cross-language LDA (Latent Dirichlet Allocation) model. We assumed that a topic variable Z in LDA could generate both an English token and a Chinese token, given that the parallel corpus contained two languages: English...
The current study presented a generalized regression neural network (GRNN) based approach to predict nitrogen oxides (NOx) emitted from coal-fired boiler. A novel 'multiple' smoothing parameters, which is different from the standard algorithm in which only single smoothing parameter was adopted (Matlab neural network toolbox, for example), were assigned to GRNN model. K-means clustering algorithm...
Since malicious shill bidding behaviors changes frequently, we need a profiling mechanism to profile malicious bidders' behaviors. In this study, we apply the self-organizing map (SOM) based on shilling features to propose a profiled malicious bidder behavior model. Via this model, the auctioneer can realize the changed malicious bidder behaviors and devise detection method for detecting malicious...
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