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Weighted Broad Learning System and Its Application in Nonlinear Industrial Process Modeling 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 8, 页码: 3017-3031
作者:  Chu, Fei;  Liang, Tao;  Chen, C. L. Philip;  Wang, Xuesong;  Ma, Xiaoping
收藏  |  浏览/下载：211/0  |  提交时间：2020/09/07
Learning systems  Training  Heuristic algorithms  Neural networks  Automation  Process control  Control engineering  Broad learning system (BLS)  incremental learning algorithm  noise and outliers  weighted penalty factor  
A single-cell transcriptomic landscape of primate arterial aging 期刊论文
NATURE COMMUNICATIONS, 2020, 卷号: 11, 期号: 1, 页码: 13
作者:  Zhang, Weiqi;  Zhang, Shu;  Yan, Pengze;  Ren, Jie;  Song, Moshi;  Li, Jingyi;  Lei, Jinghui;  Pan, Huize;  Wang, Si;  Ma, Xibo;  Ma, Shuai;  Li, Hongyu;  Sun, Fei;  Wan, Haifeng;  Li, Wei;  Chan, Piu;  Zhou, Qi;  Liu, Guang-Hui;  Tang, Fuchou;  Qu, Jing
收藏  |  浏览/下载：184/0  |  提交时间：2020/06/22
A Minimum-Cost Modeling Method for Nonlinear Industrial Process Based on Multimodel Migration and Bayesian Model Averaging Method 期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2020, 卷号: 17, 期号: 2, 页码: 947-956
作者:  Chu, Fei;  Dai, Bangwu;  Ma, Xiaoping;  Wang, Fuli;  Ye, Bin
收藏  |  浏览/下载：125/0  |  提交时间：2020/06/22
Predictive models  Data models  Adaptation models  Process control  Computational modeling  Integrated circuit modeling  Bayes methods  Bayesian model averaging (BMA)  minimum cost  multimodel migration  nonlinear  performance prediction