Journal of shanghai Jiaotong University (Science) ›› 2013, Vol. 18 ›› Issue (3): 366-375.doi: 10.1007/s12204-013-1407-0
Previous Articles Next Articles
PAN Feng1* (潘 峰), ZHAO Hai-bo2 (赵海波)
Online:
2013-06-28
Published:
2013-08-12
Contact:
PAN Feng(潘 峰)
E-mail:fpan@dhu.edu.cn
CLC Number:
PAN Feng1* (潘 峰), ZHAO Hai-bo2 (赵海波). Online Sequential Extreme Learning Machine Based Multilayer Perception with Output Self Feedback for Time Series Prediction[J]. Journal of shanghai Jiaotong University (Science), 2013, 18(3): 366-375.
[1] Makridakis S, Wheelwright S, Hyndman R. Forecasting: Methods and applications [M]. New York: Wiley, 1998. [2] Yu L, Lai K K, Wang S. Multistage RBF neural network ensemble learning for exchange rates forecasting [J]. Neurocomputing, 2008, 71(10): 3295-3302. [3] Dong R, Pedrycz W. A granular time series approach to long-term forecasting and trend forecasting [J]. Physica A, 2008, 387(5): 3253-3270. [4] Wagner N, Michalewicz Z, Khouja M, et al. Time series forecasting for dynamic environments: The Dy-For genetic program model [J]. IEEE Transactions on Evolutionary Computation, 2007, 11(4): 433-452. [5] Kulesh M, Holschneider M, Kurennaya K. Adaptive metrics in the nearest neighbours method [J]. Physics D, 2008, 237(5): 283-291. [6] Cao L J, Tay F E H. Support vector machine with adaptive parameters in financial time series forecasting [J]. IEEE Transactions on Neural Networks, 2003, 14(6): 1506-1518. [7] Zhang G P, Kline D M. Quarterly time-series forecasting with neural networks [J]. IEEE Transactions on Neural Networks, 2007, 18(6): 1800-1814. [8] Huang G B, Zhu Q Y, Siew C K. Extreme learning machine: Theory and applications [J]. Neurocomputing, 2006, 70(12): 489-501. [9] Vairappan C, Tamura H, Gao S, et al. Batch type local search-based adaptive neuro-fuzzy inference system (ANFIS) with self-feedbacks for time-series prediction [J]. Neurocomputing, 2009, 72(3): 1870-1877. [10] Lin Z, Zhang D, Gao L, et al. Using an adaptive self-tuning approach to forecast power loads [J]. Neurocomputing, 2008, 71(1): 559-563. [11] Liang N Y, Huang G B, Saratchandran P, et al.A fast and accurate online sequential learning algorithm for feedforward networks [J]. IEEE Transactions on Neural Networks, 2006, 17(11): 1411-1423. |
[1] | 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. |
[2] | Li Qingwei, Fu Can, Xue Wenli, Wei Yongqiang, Shen Zhiwen. Novel State of Health Estimation for Lithium-Ion Battery Based on Differential Evolution Algorithm-Extreme Learning Machine [J]. J Shanghai Jiaotong Univ Sci, 2025, 30(2): 252-261. |
[3] | HE Zhizhuo, ZHANG Ying, ZHENG Gang, ZHENG Fang, HUANG Wandi, ZHANG Shenxi, CHENG Haozhong. Interval Prediction Technology of Photovoltaic Power Based on Parameter Optimization of Extreme Learning Machine [J]. Journal of Shanghai Jiao Tong University, 2024, 58(3): 285-294. |
[4] | YANG Bo, ZENG Chunyuan, CHEN Yijun, SHU Hongchun, CAO Pulin. Extreme Learning Machine and Its Application in Parameter Identification of Proton Exchange Membrane Fuel Cell [J]. Journal of Shanghai Jiao Tong University, 2023, 57(4): 482-494. |
[5] | SU Hong1 (苏 红), WU Bozhao2 (吴博钊), MAO Xuchu1∗ (茅旭初). Non-Line-of-Sight Multipath Detection Method for BDS/GPS Fusion System Based on Deep Learning [J]. J Shanghai Jiaotong Univ Sci, 2022, 27(6): 844-854. |
[6] | WANG Yan, CHEN Yaoran, HAN Zhaolong, ZHOU Dai, BAO Yan. Short-Term Wind Speed Forecasting Model Based on Mutual Information and Recursive Neural Network [J]. Journal of Shanghai Jiao Tong University, 2021, 55(9): 1080-1086. |
[7] | XI Jianhui, JIANG Han, CHEN Bo, FU Li. Infrared Multispectral Radiation Temperature Measurement Based on PCA-ELM [J]. Journal of Shanghai Jiao Tong University, 2021, 55(7): 891-898. |
[8] | ZHANG Linlin,HU Xiongwei,LI Peng,SHI Fang,YU Zhihong. Power System Transient Stability Assessment Based on Extreme Learning Machine [J]. Journal of Shanghai Jiaotong University, 2019, 53(6): 749-756. |
[9] | WANG Yinglin (王英林), WANG Ming (王明). Fine-Grained Opinion Extraction from Chinese Car Reviews with an Integrated Strategy [J]. Journal of Shanghai Jiao Tong University (Science), 2018, 23(5): 620-626. |
[10] | ZHONG Guoqiang,WANG Hao,ZHANG Guohua,QIN Weimin WANG Chengtang,XIONG Junfeng. Analysis and Prediction of Factors Affecting Horizontal Displacement of Foundation Pit Based on RS-MIV-ELM Model [J]. Journal of Shanghai Jiaotong University, 2018, 52(11): 1508-1515. |
[11] | ZHANG Wei,XU Aiqiang,GAO Mingzhe. An Online Condition Prediction Algorithm Based on Cumulative Coherence Measurement [J]. Journal of Shanghai Jiaotong University, 2017, 51(11): 1391-1398. |
[12] | LIU Feifei,PENG Di,HE Yanlin,ZHU Qunxiong. Research and Chemical Application of Extreme Learning Based Process Neural Network [J]. Journal of Shanghai Jiaotong University, 2014, 48(07): 977-981. |
[13] | ZHANG Yingtang,MA Chao,LI Zhining,FAN Hongbo. Online Modeling of Kernel Extreme Learning Machine Based on Fast Leave-One-Out CrossValidation [J]. Journal of Shanghai Jiaotong University, 2014, 48(05): 647-652. |
[14] | PAN Feng1* (潘 峰), ZHAO Hai-bo2 (赵海波), LIU Hua-shan1 (刘华山). Time-Series Forecasting Using Autoregression Enhanced k-Nearest Neighbors Method [J]. Journal of shanghai Jiaotong University (Science), 2013, 18(4): 434-442. |
[15] | LIU Xue-Yi-a, LI Ping-a, b , GAO Chuan-Hou-c. Fast Leave-One-Out Cross-Validation Algorithm for Extreme Learning Machine [J]. Journal of Shanghai Jiaotong University, 2011, 45(08): 1140-1145. |
Viewed | ||||||||||||||||||||||||||||||||||||||||||||||||||
Full text 394
|
|
|||||||||||||||||||||||||||||||||||||||||||||||||
Abstract 1087
|
|
|||||||||||||||||||||||||||||||||||||||||||||||||