共搜索到14886条信息,每页显示10条信息,共1489页。用时:0小时0分0秒531毫秒
Predicting configuration performance of modular product family using principal component analysis and support vector machineZHANG Meng(张萌), LI Guo-xi(李国喜), GONG Jing-zhong(龚京忠), WU Bao-zhong(吴宝中... of principal component analysis (PCA) and support vector machine (SVM) was proposed. This method can estimate the performance parameter values of a newly configured product through soft computing technique......
for support design and guidance for backfill support to have better performance in backfilling.Key words:horizontal roof gap; backfill hydraulic support; support height; suspension height; suspension... of China,(School of Mines, China University of Mining & Technology), Xuzhou 221116, China)Abstract:For the backfill hydraulic support as the key equipment for achieving integration of backfilling......
Flatness intelligent control via improved least squares support vector regression algorithmZHANG Xiu-ling(张秀玲)1,2, ZHANG Shao-yu(张少宇)1, ZHAO Wen-bao(赵文保)1, XU Teng(徐腾)1(1. Key Laboratory..., Qinhuangdao 066004, China)Abstract:To overcome the disadvantage that the standard least squares support vector regression (LS-SVR) algorithm is not suitable to multiple-input multiple-output (MIMO......
J. Cent. South Univ. (2021) 28: 247-263 DOI: https://doi.org/10.1007/s11771-021-4600-6 Support pressure assessment for deep buried railway tunnels using BQ-index WANG Ming-nian(王明年)1, 2, WANG Zhi... of Springer Nature 2021 Abstract: Estimation of support pressure is extremely important to the support system design and the construction safety of tunnels. At present, there are many methods......
, the exploration and analyses of the support vector machine (SVM) and back propagation (BP) neural network models were made to find a practical way to predict the performance of HTHP system. The results showed... with good performance. Key words: high-temperature heat pump; experimental performance; support vector machine; back propagation neural network; performance prediction Cite this article as: YU Xiao-hui......
J. Cent. South Univ. (2016) 23: 898-905 DOI: 10.1007/s11771-016-3137-6 Rheological properties of surrounding rock in deep hard rock tunnels and its reasonable support form WANG Hui(王辉)1, 2, CHEN Wei... as a constitutive model numerical implementation made by programming. Second, we introduced a new foam concrete with higher compression performance and good ductility and studied its mechanical properties......
model predictive control based on parallel support vector machines with linear kernel BAO Zhe-jing(包哲静)1, ZHONG Wei-min(钟伟民)2, PI Dao-ying(皮道映)1, SUN You-xian(孙优贤)1 (1. State Key Laboratory...; Abstract:Robustly stable multi-step-ahead model predictive control (MPC) based on parallel support vector machines (SVMs) with linear kernel......
Soft sensor design for hydrodesulfurization process using support vector regression based on WT and PCASaeid Shokri1, Mohammad Taghi Sadeghi1, Mahdi Ahmadi Marvast2, Shankar Narasimhan3(1. Department... the prediction accuracy of sulfur content in hydrodesulfurization (HDS) process was proposed. Therefore, an integrated approach using support vector regression (SVR) based on wavelet transform (WT) and principal......
J. Cent. South Univ. Technol. (2011) 18: 1614-1618 DOI: 10.1007/s11771-011-0880-6 Nonlinear correction of photoelectric displacement sensor based on least square support vector machine GUO Jie... displacement sensor was established based on the least square support vector machine. The parameters of the correcting nonlinear model, such as penalty factor and kernel parameter, were optimized by chaos......
. To obtain the reliability index, Support Vector Machine (SVM) was applied to approximate the performance function. The time-consuming of this approach is only 0.028% of that using Monte-Carlo method...J. Cent. South Univ. Technol. (2011) 18: 2108-2114 DOI: 10.1007/s11771-011-0950-9 Time-variant reliability analysis of three-dimensional slopes based on Support Vector Machine method CHEN Chang-fu(陈昌......