For the hysteresis of fluid heat transfer in liquid cooling system, the detection of fluid temperature lags behind the temperature rise of heating devices; A PSO-GWO-RBF neural network temperature prediction method fo...
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ISBN:
(纸本)9781450397407
For the hysteresis of fluid heat transfer in liquid cooling system, the detection of fluid temperature lags behind the temperature rise of heating devices; A PSO-GWO-RBF neural network temperature prediction method for liquid cooling system is proposed. On the basis of RBF neural network model, PSO-GWO algorithm is used to optimize the network parameters, and the prediction model is established by using the measured parameters of the liquid cooling system. the prediction data is compared withthe real data, and the error curve is drawn. the simulation results show that the prediction effect of PSO-GWO-RBF neural network model is better than that of traditional RBF, PSO-RBF and GWO-RBF neural network models. Compared with other models, the convergence speed is faster, the convergence accuracy is higher, and the divergence is locally optimal. It has better practical value to apply the predicted temperature to the cooling control of the liquid cooling system.
Modern school and university education is impossible to imagine without the use of electronic educational resources. the development of e-learning has become especially relevant due to the spread of COVID-19 and the p...
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ISBN:
(纸本)9781450398091
Modern school and university education is impossible to imagine without the use of electronic educational resources. the development of e-learning has become especially relevant due to the spread of COVID-19 and the periodic introduction of distance learning. the higher school has been practicing a blended form of education for a long time. In universities, e-learning is associated withthe introduction of their own e-course systems and the use of mass open online courses in the educational process. But a significant drawback of mass open online courses (MOOCs) lies precisely in their mass character, aimed at the average consumer of educational services. the division into categories "for beginners" and "for advanced" is the maximum differentiation that mass open online courses can offer. As for traditional e-courses, in recent years there has been a tendency to develop adaptive educational systems, STACK-type tasks on the MOODLE platform, allowing to personalize the learning process, but this requires significant time and labor costs. We want to show on several examples of STACK-type tasks how it is possible using one STACK question, modifying it to get several tasks that differ in content. this transformation of tasks allows you to fill the task pool faster, which is an important aspect when filling it (using it). the purpose of the study is methodological substantiation, development and implementation of transformer tasks in mathematics in the educational process, which provide variability in the presentation of educational content.
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