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Prediction of students' academic performance is a worthwhile task for educational institutions, as they may provide necessary help to at-risk students as early as possible. Previous studies mainly focused on predicting students' success or failure of online courses. We show that it is possible to predict students' performance of offline courses from their access records on general websites. Feature...
Based on BP neural network, the paper set up an island microgrid system to forecast electricity load. In order to improve forecast accuracy and convergence speed, author updates BP neural network in two ways. on one hand, putting forward several limitations of the basic algorithm for BP, the paper firstly gives several commonly used improved BP algorithm to be compared and then select the LM algorithm...
The paper takes system dynamics method as study tool, based on the research in the specific hospital and system analysis about the hospital competitiveness, combined with the actual situation of Jiujiang Chinese hospital, built up seven system dynamics simulation models, and according to the hospital history data and future development plans, established each variable equation of seven models, simulated...
The objective of this paper is to study the relationships among the significant parameters impacting CO2 production. An enhanced understanding of the intricate relationships among the process parameters enables prediction and optimization, thereby improving efficiency of the CO2 capture process. Our modeling study used the operational data collected over a 3-year period from the amine-based post combustion...
Internal stress simulation of a multilayer structure using measured wafer curvature accurately predicts the central wavelength shifts and spectrum ripple resulting from grinding and temperature change, thereby greatly improving the production yield of 50 GHz filters.
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