Journal of shanghai Jiaotong University (Science) ›› 2017, Vol. 22 ›› Issue (2): 173-179.doi: 10.1007/s12204-017-1818-4
Previous Articles Next Articles
WANG Yinglin (王英林)
Online:
2017-03-31
Published:
2017-04-04
Contact:
WANG Yinglin (王英林)
E-mail:wang.yinglin@shufe.edu.cn
[1] | PEDRYCZ W, CHEN S M. Time series analysis, modelingand applications [M]. Berlin: Springer-Verlag,2013. |
[2] | WANG L, ZOU H F, SU J, et al. An ARIMA-ANNhybrid model for time series forecasting [J]. SystemsResearch and Behavioral Science, 2013, 30: 244-259. |
[3] | CORTEZ P, RIO M, ROCHA M, et al. Multi-scaleInternet traffic forecasting using neural networks andtime series methods [J]. Expert Systems, 2012, 29(2):143-155. |
[4] | KUMAR D A, MURUGAN S. Performance analysisof Indian stock market index using neural networktime series model [C]//Proceedings of the 2013 InternationalConference on Pattern Recognition, Informaticsand Mobile Engineering (PRIME). [s. l.]: IEEE,2013: 72-78. |
[5] | O’CONNOR N, MADDEN M G. A neural network approachto predicting stock exchange movements usingexternal factors [J]. Knowledge-Based Systems, 2006,19(5): 371-378. |
[6] | SCHUMAKER R P, ZHANG Y L, HUANG C N, etal. Evaluating sentiment in financial news articles [J].Decision Support Systems, 2012, 53(3): 458-464. |
[7] | LIANG X, CHEN R C, HE Y, et al. Associatingstock prices with web financial information time seriesbased on support vector regression [J]. Neurocomputing,2013, 115: 142-149. |
[8] | HAGENAU M, LIEBMANN M, NEUMANN D. Automatednews reading: Stock price prediction basedon financial news using context-capturing features [J].Decision Support Systems, 2013, 55: 685-697. |
[9] | RUIZ E J, HRISTIDIS V, CASTILLO C, et al. Correlatingfinancial time series with micro-blogging activity[C]// Proceedings of the fifth ACM International Conferenceon Web Search and Data Mining. New York,USA: ACM, 2012: 513-522. |
[10] | BOLLEN J, MAO H, ZENG X J. Twitter mood predictsthe stock market [J]. Journal of ComputationalScience, 2011, 2(1): 1-8. |
[11] | LI Q, WANG J, WANG F, et al. The role of socialsentiment in stock markets: A view from joint effects ofmultiple information sources [J]. Multimedia Tools andApplications, 2016. DOI: 10. 1007/s11042-016-3643-4(published online). |
[12] | ROMANOWSKI A, SKUZA M. Towards predictingstock price moves with aid of sentiment analysis ofTwitter social network data and big data processingenvironment [C]// Advances in Business ICT: NewIdeas from Ongoing Research, Studies in ComputationalIntelligence. [s.l.]: Springer International Publishing,2017: 105-123. |
[1] | PAN Meiqi, HE Xing. A Fault Diagnosis Method for Wind Turbines Based on Zero-Shot Learning [J]. Journal of Shanghai Jiao Tong University, 2025, 59(5): 561-568. |
[2] | HUANG Yixiang, DOU Xun, LI Linxi, YANG Hanyu, YU Jiancheng, HUO Xianxu. Quantitative Method of Response Value of Integrated Energy Equipment Based on Global Sensitivity Analysis [J]. Journal of Shanghai Jiao Tong University, 2025, 59(5): 569-579. |
[3] | Ma Yiyuan, Chen Huaiyuan, Chen Weidong. Real-Time Prediction of Elbow Motion Through sEMG-Based Hybrid BP-LSTM Network [J]. J Shanghai Jiaotong Univ Sci, 2025, 30(3): 455-462. |
[4] | Pan Xinrong, Liu Xuewen, Zhu Bo, Wang Yingyi. Physics-Guided Neural Network with Gini Impurity-Based Structural Optimizer for Prediction of Membrane-Type Acoustic Material Transmission Loss [J]. J Shanghai Jiaotong Univ Sci, 2025, 30(3): 613-624. |
[5] | Feng Lingdong, Miao Yubin. Intelligent Heart Rate Extraction Method Based on Millimeter Wave Radar [J]. J Shanghai Jiaotong Univ Sci, 2025, 30(3): 493-498. |
[6] | QIN Hao, SU Liwei, WU Guangbin, JIANG Chongying, XU Zhipeng, KANG Feng, TAN Huochao, ZHANG Yongjun. Short-Term Telephone-Traffic Prediction of Power Grid Customer Service Based on Adaboost-CNN [J]. Journal of Shanghai Jiao Tong University, 2025, 59(2): 266-273. |
[7] | Nie Wei, Liang Xinwu. Efficient Fully Convolutional Network and Optimization Approach for Robotic Grasping Detection Based on RGB-D Images [J]. J Shanghai Jiaotong Univ Sci, 2025, 30(2): 399-416. |
[8] | Li Kai, Huang Wenhan, Li Chenchen, Deng Xiaotie. Exploiting a No-Regret Opponent in Repeated Zero-Sum Games [J]. J Shanghai Jiaotong Univ Sci, 2025, 30(2): 385-398. |
[9] | A. Sahaya Anselin Nisha1* , NARMADHA R.1 , AMIRTHALAKSHMI T. M.2,BALAMURUGAN V.1, VEDANARAYANAN V.1. LOBO Optimization-Tuned Deep-Convolutional Neural Network for Brain Tumor Classification Approach [J]. J Shanghai Jiaotong Univ Sci, 2025, 30(1): 107-114. |
[10] | SUN Dongyi, PU Yuting, ZHANG Jianbang. Target Assignment Method of Air Defense Missile Based on GA-BP Neural Network [J]. Air & Space Defense, 2025, 8(1): 62-70. |
[11] | JIANG Yilin1, 2∗ (蒋伊琳), LI Xiang1, 2 (李向), ZHANG Haoping3 (张昊平). Emitter Beam State Sensing Based on Convolutional Neural Network and Received Signal Strength [J]. J Shanghai Jiaotong Univ Sci, 2024, 29(6): 1017-1022. |
[12] | LI Mingai1, 2∗ (李明爱), WEI Lina1 (魏丽娜). Motor Imagery Classification Based on Plain Convolutional Neural Network and Linear Interpolation [J]. J Shanghai Jiaotong Univ Sci, 2024, 29(6): 958-966. |
[13] | LI Lijuan, LIU Hai, LIU Hongliang, ZHANG Qingsong, CHEN Yongdong. Non-Intrusive Load Disaggregation Using Sequence-to-Point Integrating External Attention Mechanism [J]. Journal of Shanghai Jiao Tong University, 2024, 58(6): 846-854. |
[14] | XU Liangkun1, 2 (徐良坤), XUE Han2∗ (薛晗), JIN Yongxing1 (金永兴), ZHOU Shibo2 (周世波). Neural Network Optimization of Multivariate KDE Bandwidth for Buoy Spatial Information [J]. J Shanghai Jiaotong Univ Sci, 2024, 29(5): 773-779. |
[15] | ZHANG Guodong, LIU Kai, PU Haitao, YAO Fuqiang, ZHANG Shuaishuai. Identification of Inrush Current and Fault Current Based on Long Short-Term Memory Neural Network [J]. Journal of Shanghai Jiao Tong University, 2024, 58(5): 730-738. |
Viewed | ||||||||||||||||||||||||||||||||||||||||||||||||||
Full text 241
|
|
|||||||||||||||||||||||||||||||||||||||||||||||||
Abstract 611
|
|
|||||||||||||||||||||||||||||||||||||||||||||||||