Modeling, optimization and experimental studies of supported nano-bimetallic catalyst for simultaneous total conversion of toluene and cyclohexane in air using a hybrid intelligent algorithm

Zabihi, Mohammad; Babajani, Nasser

doi:10.1039/c8ra01504j

Cited by 7 publications

(1 citation statement)

References 22 publications

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“…Literature [18] constructs a remote EMET model and implements EMET based on support vector machines, which achieves good evaluation results. Literature [19] puts forward an EMET method based on an intelligent algorithm, which uses genetic algorithms to improve the evaluation teaching quality of BP neural network and has fast convergence speed and evaluation accuracy.…”

Section: Related Workmentioning

confidence: 99%

Application of Deep Learning in Medical English Teaching Evaluation

Han

Yao

2022

Wireless Communications and Mobile Computing

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Although the fact that the reform of college English teaching has yielded mixed results, medical colleges have yet to achieve a breakthrough. Deep learning (DL) is a type of education that emphasizes higher-order thinking skills. It encompasses the state of learning, the learning process, and the learning outcomes. It emphasizes critical knowledge understanding, focuses on the integration of old and new knowledge, confronts real-world problems, and pays attention to reflection. This paper establishes the EMET (evaluation of medical English teaching) model based on the improved BPNN algorithm and analyzes the performance of this model using the improved BPNN algorithm. The simulation results show that the improved BPNN algorithm proposed in this paper has fast convergence speed, strong optimization ability, and generalization ability, effectively reducing the impact of human factors on index weight determination.

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Section: Related Workmentioning

confidence: 99%