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Serially coupled reversed phase-hydrophilic interaction liquid chromatography-tailored multiple reaction monitoring, a fit-for-purpose tool for large-scale targeted metabolomics of medicinal bile Journal article
ANALYTICA CHIMICA ACTA, 2018,Volume: 1037,Page: 119-129
Authors:  Song, Qingqing;  Liu, Wenjing;  Chen, Xiaojia;  Li, Jun;  Li, Peng;  Yang, Fengqing;  Wang, Yitao;  Song, Yuelin;  Tu, Pengfei
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Large-scale Targeted Metabolomics  Serially Coupled Rplc-hilic  Tailored Multiple Reaction Monitoring  Medicinal Bile  Bile Acids  
Authentic compound-free strategy for simultaneous determination of primary coumarins in Peucedani Radix using offline high performance liquid chromatography-nuclear magnetic resonance spectroscopy-tandem mass spectrometry Journal article
ACTA PHARMACEUTICA SINICA B, 2018,Volume: 8,Issue: 4,Page: 645-654
Authors:  Liu, Yao;  Song, Qingqing;  Liu, Wenjing;  Li, Peng;  Li, Jun;  Zhao, Yunfang;  Zhang, Liang;  Tu, Pengfei;  Wang, Yitao;  Song, Yuelin
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Authentic Compound-independent Quantitation  Offline Lcnmrms/ms  Automated Fraction Collection Module  Quantitative H-1 Nmr  Peucedani Radix  Regio-specific Monitoring  
Correntropy-Based Evolving Fuzzy Neural System Journal article
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2018,Volume: 26,Issue: 3,Page: 1324-1338
Authors:  Bao, Rong-Jing;  Rong, Hai-Jun;  Angelov, Plamen P.;  Chen, Badong;  Wong, Pak Kin
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Correntropy  Evolving Fuzzy Neural System (Efns)  Mean-square Error (Mse)  Nonlinear System  Steady-state Excess Mean Square Error (Emse)  
Fast identification of anticancer constituents in Forsythiae Fructus based on metabolomics approaches Journal article
JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS, 2018,Volume: 154,Page: 312-320
Authors:  Bao, Jiaolin;  Ding, Ren-Bo;  Jia, Xuejing;  Liang, Yeer;  Liu, Fang;  Wang, Kai;  Zhang, Chao;  Li, Peng;  Wang, Yitao;  Wan, Jian-Bo;  He, Chengwei
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Forsythiae Fructus  Anticancer  Metabolomics  Multivariate Data Analysis  B16-f10 Melanoma  
Co-delivery of gambogic acid and TRAIL plasmid by hyaluronic acid grafted PEI-PLGA nanoparticles for the treatment of triple negative breast cancer Journal article
DRUG DELIVERY, 2017,Volume: 24,Issue: 1,Page: 1791-1800
Authors:  Wang, Shengpeng;  Shao, Min;  Zhong, Zhangfeng;  Wang, Anqi;  Cao, Jiliang;  Lu, Yucong;  Wang, Yitao;  Zhang, Jinming
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Nanoparticles  Trail  Gambogic Acid  Triple Negative Breast Cancer  Co-delivery  
Exploit every cycle: Vectorized time series algorithms on modern commodity CPUs Conference paper
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), New Delhi, India, 9 1, 2016 - 9 1, 2016
Authors:  Tang, Bo;  Yiu, Man Lung;  Li, Yuhong;  U, Leong Hou
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A novel forecasting method based on multi-order fuzzy time series and technical analysis Journal article
Information Sciences, 2016,Volume: 367-368,Page: 41-57
Authors:  Ye F.;  Zhang L.;  Zhang D.;  Fujita H.;  Gong Z.
Favorite  |  View/Download:9/0  |  Submit date:2019/02/12
Financial Forecasting  Fuzzy Time Series  Genetic Algorithm  Technical Analysis  
Gradient radial basis function based varying-coefficient autoregressive model for nonlinear and nonstationary time series Journal article
IEEE Signal Processing Letters, 2015,Volume: 22,Issue: 7,Page: 809-812
Authors:  Gan M.;  Chen C.L.P.;  Li H.-X.;  Chen L.
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Functional-coefficient Autoregressive Model  Gradient Radial Basis Function  Nonlinear And Nonstationary Time Series  Separable Nonlinear Least Squares  
A forecasting method based on extrema mean empirical mode decomposition and wavelet neural network Conference paper
Proceedings - 2015 IEEE 2nd International Conference on Cybernetics, CYBCONF 2015, Gdynia, Poland, 24-26 June 2015
Authors:  Pan J.;  Zheng X.;  Yang L.;  Wang Y.;  Yuan H.;  Tang Y.Y.
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Empirical Mode Decomposition  Forecasting  Wavelet Neural Network  
Predictive Deep Boltzmann Machine for Multiperiod Wind Speed Forecasting Journal article
IEEE Transactions on Sustainable Energy, 2015,Volume: 6,Issue: 4,Page: 1416
Authors:  Zhang C.-Y.;  Chen C.L.P.;  Gan M.;  Chen L.
Favorite  |  View/Download:5/0  |  Submit date:2018/10/30
Deep Boltzmann Machine (Dbm)  Deep Learning  Time Series  Wind Speed Prediction