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Anying Yuan on Muck Rack

Anying Yuan

As seen in: Wiley Online Library, MDPI, Canadian Journal of Infectious Diseases & Medical Microbiology
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Articles

Experimental Study on the Mechanical Properties and Fractal Characteristics of Gas-Containing Coal Under Cyclic Loading

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By Peng Zou, Lei Wang, Anying Yuan, Hao Fan
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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The Influence of Precooling on Liquid Metal Embrittlement and Microstructure Properties of Galvanized 22MnB5 Tubes

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By Xiaofeng Wang, Lei Sun, Anying Yuan, Guannan Chu
| Wiley Online Library Verified
Conflict of Interest The authors declare no conflict of interest. Supporting Information Filename Description srin202300447-sup-0001-SuppData-S1.pdf79.3 KB Supplementary Material References 1 , Prog. Mater. Sci. 2000, 45, 191. 2 , , , Int. J. Crashworthiness 2018, 23, 645. 3 , , C. R. Phys. 2018, 19, 641. 4 , , J. Mater. Process. Technol. 2010, 210, 2103. 5 , , ISIJ Int. 2010, 50, 1713. 6 , , , , , ISIJ Int. 2010, 50, 561. 7 , , Steel Res. Int. 2012, 83, 412. 8 , , , , Metall. Mater. Trans. A 2016, 47, 2885.
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Triaxial Compression Strength Prediction of Fissured Rocks in Deep-Buried Coal Mines Based on an Improved Back Propagation Neural Network Model

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By Yiyang Wang, Bin Tang, Wenbin Tao, Anying Yuan
| MDPI
4.4. Application of Fissured Rock Specimen Strength Prediction Before establishing the model, it is necessary to pre-divide the dataset into a training set and a testing set. The training set is used for model training, while the testing set is used to verify and evaluate the reliability and generalization performance of the trained model. Proper dataset partitioning has a significant impact on the final generalization performance of the model.
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