[1] |
MA Mengping, YANG Zhixia.
Asymmetric [ν]-Kernel-Free Quadratic Surface Support Vector Regression
[J]. Computer Engineering and Applications, 2021, 57(7): 70-77.
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[2] |
ZHANG Lin, WANG Tinghua, ZHOU Huiying.
Research Progress on Parameter Optimization of SVR Based on Swarm Intelligence Algorithm
[J]. Computer Engineering and Applications, 2021, 57(16): 50-64.
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[3] |
YAN Liping1, MA Jiajun1, CHEN Wenxing2.
Sparse Structured Least Squares Twin Support Vector Regression Machine
[J]. Computer Engineering and Applications, 2019, 55(3): 10-14.
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[4] |
XU Yingying1, LI Chaofeng1,2.
No-reference video quality assessment based on spatial and frequency features
[J]. Computer Engineering and Applications, 2018, 54(9): 165-171.
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[5] |
DING Hongfei1,2, QIN Zheng1, LIU Bo1, LI Yanhong1.
Study on urban expressways’ multi-source traffic data fusion technology based on AF-SVR model
[J]. Computer Engineering and Applications, 2017, 53(5): 266-270.
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[6] |
SUN Wenbing1, PENG Yuehui2.
Vehicle queue length prediction based on PSO-SVR dynamic model
[J]. Computer Engineering and Applications, 2016, 52(2): 239-243.
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[7] |
GAO Leifu, GAO Jing, ZHAO Shijie.
Forecast model of SVR optimized by artificial bee colony algorithm
[J]. Computer Engineering and Applications, 2016, 52(11): 55-59.
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[8] |
MI Gensuo, ZHAO Liqin, LUO Miao.
Subway station passenger flow forecast based on mixed kernel support vector machine optimized by golden section chaotic particle swarm optimization
[J]. Computer Engineering and Applications, 2015, 51(14): 231-235.
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[9] |
WANG Daxi1, HU Zhiyuan1, QIAN Liujian2.
Product sales forecasting based on Chaos Fruit Fly Support Vector Regression
[J]. Computer Engineering and Applications, 2015, 51(12): 235-240.
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[10] |
WANG Xin1, WANG Qian1, ZHAO Zhike2.
Improved method for endpoint extension of empirical mode decomposition based on SVR
[J]. Computer Engineering and Applications, 2014, 50(9): 204-208.
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[11] |
LU Zhenxing, YANG Zhixia, GAO Xinyu.
Least square twin support vector regression
[J]. Computer Engineering and Applications, 2014, 50(23): 140-144.
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[12] |
LAN Jiao1, QIN Xizhong1, JIA Zhenhong1, CHEN Li2.
Busy traffic forecasting based on improved semi supervised SVR algorithm
[J]. Computer Engineering and Applications, 2014, 50(20): 211-214.
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[13] |
HAN Shuncheng, MA Xiaoqing, CHEN Jindong, PAN Feng.
Improved stopping criteria based SMO algorithm
[J]. Computer Engineering and Applications, 2014, 50(16): 31-34.
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[14] |
SUN Shaochao, YING Zhongyu, LI Weichun, HU Yunqin, ZHU Lin.
Robust twins support vector machine for regression
[J]. Computer Engineering and Applications, 2014, 50(14): 127-130.
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[15] |
BAI Xiang’en1, ZHANG Hao1, ZHANG Xiaodong2, XIAO Yingjie1, CHEN Liang1.
Support vector machine regression model with rough set-based feature selection for forecasting of vessel traffic flow
[J]. Computer Engineering and Applications, 2014, 50(14): 251-254.
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