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J. Cent. South Univ. (2017) 24: 2664-2673 DOI: https://doi.org/10.1007/s11771-017-3679-2 Real-time rear-end crash potential prediction on freeways QU Xu(曲栩)1, WANG Wei(王炜)1, WANG Wen-fu(王文夫)2, LIU... prediction precision rate. In comparison with MLP artificial neural networks, SVM models provide better results in terms of crash prediction accuracy and false positive rate, which confirms the superior......
Theoretical prediction on the stability, electronic structure, room and elevated temperature properties of a new MAB phase Mo2AlB2Yanchun Zhou1,Huimin Xiang1,Haiming Zhang1,2,Fu-Zhi Dai11. Science and Technology on Advanced Functional Composite Laboratory, Aerospace Research Institute of Materials & Processing Technology2. School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong......
J. Cent. South Univ. (2018) 25: 2754-2765 DOI: https://doi.org/10.1007/s11771-018-3951-0 Intelligent prediction on performance of high-temperature heat pump systems using different refrigerants YU... prediction. Finally, the proposed SVM model was used to assess the potential of the M1 and M2. The results indicated that the HTHP system using M1 could produce heat at the temperature of 130 °C......
J. Cent. South Univ. (2021) 28: 898-910 DOI: https://doi.org/10.1007/s11771-021-4652-7 Prediction of resilient modulus for subgrade soils based on ANN approach ZHANG Jun-hui(张军辉)1, HU Jian-kun(胡健坤... network; multi-population genetic algorithm; prediction method Cite this article as: ZHANG Jun-hui, HU Jian-kun, PENG Jun-hui, FAN Hai-shan, ZHOU Chao. Prediction of resilient modulus for subgrade......
J. Cent. South Univ. Technol. (2011) 18: 685-689 DOI: 10.1007/s11771-011-0748-9 Prediction method for surface finishing of spiral bevel gear tooth based on least square support vector machine MA...); prediction 1 Introduction Spiral bevel gear (SBG) has been widely applied in the transmission systems of helicopters, automobiles and many machines. The increasing requirements for low noise......
J. Cent. South Univ. (2018) 25: 406-417 DOI: https://doi.org/10.1007/s11771-018-3746-3 Deformation prediction and analysis of underground mining during stacking of dry gangue in open-pit based..., Changsha 410083, China Central South University Press and Springer-Verlag GmbH Germany, part of Springer Nature 2018 Abstract: Deformation prediction and the analysis of underground goaf are important......
J. Cent. South Univ. (2020) 27: 2745-2753 DOI: https://doi.org/10.1007/s11771-020-4495-7 A simple theoretical approach for analysis of slide-toe-toppling failure Hassan Sarfaraz School of Mining... by an analytical method and experimental tests. In the present study, at first, the literature review of toppling failure is presented. Then a simple theoretical solution is suggested for evaluating this failure......
words: aluminum-lithium alloy; forming limit diagram; theoretical prediction; M-K model  ...锂合金;成形极限图;理论预测;M-K模型 中图分类号:TG 386; V 26 文献标识码: ATheoretical prediction of FLDs for Al-Li alloy at elevated temperature based on M-K model MA Gao-shan, WAN Min, WU Xiang......
J. Cent. South Univ. (2016) 23: 189-200 DOI: 10.1007/s11771-016-3062-8 Theoretical generalization of Markov chain random field from potential function perspective HUANG Xiang(黄翔)1, WANG Zhi-zhong(王志.... MCRF is a special MRF for dealing with high-order interactions of sparse data. It consists of a single spatial Markov chain (SMC) that can move in the whole space. Generally, the theoretical backbone......
-ELM) rock burst prediction model is proposed to predict the intensity of rock burst in engineering [14]. 2 Theoretical models 2.1 Input factor The prediction accuracy of the model is closely related...J. Cent. South Univ. (2017) 24: 2105-2113 DOI: https://doi.org/10.1007/s11771-017-3619-1 Rock burst prediction based on genetic algorithms and extreme learning machine LI Tian-zheng(李天正), LI Yong......