Literatura académica sobre el tema "ONLINE SEQUENTIAL FUZZY EXTREME LEARNING MACHINE"
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Artículos de revistas sobre el tema "ONLINE SEQUENTIAL FUZZY EXTREME LEARNING MACHINE"
Hai-Jun Rong, Guang-Bin Huang, N. Sundararajan y P. Saratchandran. "Online Sequential Fuzzy Extreme Learning Machine for Function Approximation and Classification Problems". IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 39, n.º 4 (agosto de 2009): 1067–72. http://dx.doi.org/10.1109/tsmcb.2008.2010506.
Texto completoWang, Hai, Gang Qian y Xiang-Qian Feng. "Predicting consumer sentiments using online sequential extreme learning machine and intuitionistic fuzzy sets". Neural Computing and Applications 22, n.º 3-4 (5 de febrero de 2012): 479–89. http://dx.doi.org/10.1007/s00521-012-0853-1.
Texto completoRONG, HAI-JUN, GUANG-BIN HUANG y YONG-QI LIANG. "FUZZY EXTREME LEARNING MACHINE FOR A CLASS OF FUZZY INFERENCE SYSTEMS". International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 21, supp02 (31 de octubre de 2013): 51–61. http://dx.doi.org/10.1142/s0218488513400151.
Texto completoYin, Jianchuan y Nini Wang. "An online sequential extreme learning machine for tidal prediction based on improved Gath–Geva fuzzy segmentation". Neurocomputing 174 (enero de 2016): 85–98. http://dx.doi.org/10.1016/j.neucom.2015.02.094.
Texto completoZhu, Shuai, Hui Wang, Hui Lv y Huisheng Zhang. "Augmented Online Sequential Quaternion Extreme Learning Machine". Neural Processing Letters 53, n.º 2 (5 de febrero de 2021): 1161–86. http://dx.doi.org/10.1007/s11063-021-10435-8.
Texto completoDeng, Wan-Yu, Yew-Soon Ong, Puay Siew Tan y Qing-Hua Zheng. "Online sequential reduced kernel extreme learning machine". Neurocomputing 174 (enero de 2016): 72–84. http://dx.doi.org/10.1016/j.neucom.2015.06.087.
Texto completoLan, Yuan, Yeng Chai Soh y Guang-Bin Huang. "Ensemble of online sequential extreme learning machine". Neurocomputing 72, n.º 13-15 (agosto de 2009): 3391–95. http://dx.doi.org/10.1016/j.neucom.2009.02.013.
Texto completoGu, Yang, Junfa Liu, Yiqiang Chen, Xinlong Jiang y Hanchao Yu. "TOSELM: Timeliness Online Sequential Extreme Learning Machine". Neurocomputing 128 (marzo de 2014): 119–27. http://dx.doi.org/10.1016/j.neucom.2013.02.047.
Texto completoScardapane, Simone, Danilo Comminiello, Michele Scarpiniti y Aurelio Uncini. "Online Sequential Extreme Learning Machine With Kernels". IEEE Transactions on Neural Networks and Learning Systems 26, n.º 9 (septiembre de 2015): 2214–20. http://dx.doi.org/10.1109/tnnls.2014.2382094.
Texto completoDai, Bo, Chongshi Gu, Erfeng Zhao, Kai Zhu, Wenhan Cao y Xiangnan Qin. "Improved online sequential extreme learning machine for identifying crack behavior in concrete dam". Advances in Structural Engineering 22, n.º 2 (25 de julio de 2018): 402–12. http://dx.doi.org/10.1177/1369433218788635.
Texto completoTesis sobre el tema "ONLINE SEQUENTIAL FUZZY EXTREME LEARNING MACHINE"
BHATNAGAR, AKHILESH CHANDRA. "MODIFIED ONLINE SEQUENTIAL FUZZY EXTREME LEARNING MACHINE". Thesis, 2011. http://dspace.dtu.ac.in:8080/jspui/handle/repository/13869.
Texto completoThis report addresses modification for recently developed sequential learning algorithm (OS-Fuzzy ELM ) and its performance evaluation is done using multi-category classification Data Sets of VC, GI and IS and Binary classification data sets like liver disorder from UCI. There are two main sections to the report. The first of these is the presentation of research gathered on fuzzy neural networks and the possible purpose they could serve in communications, as well as giving background information on the individual disciplines. The second half of the report is concerned with Modified OS-Fuzzy ELM algorithm and its performance evaluation and comparison of results with recently developed sequential learning algorithm for Self-adaptive Re- source Allocation Network classifier ( SRAN).
Cheng, Yu-Yuan y 鄭育淵. "Online Fuzzy Extreme Learning Machine Based on Recursive Singular Value Decomposition". Thesis, 2017. http://ndltd.ncl.edu.tw/handle/957pjj.
Texto completo義守大學
資訊工程學系
105
In this study, we propose an online fuzzy extreme learning machine based on the recursive singular value decomposition for improving the fuzzy extreme learning machine, and therefore making it applicable for solving online learning problems in classification or regression modeling. Like the original fuzzy extreme learning machine, our approach randomly assigns values to weights of fuzzy membership functions in the hidden layer. However, the Moore-Penrose pseudoinverse is replaced with the recursive singular value decomposition for calculating the optimal weights corresponding to the output layer. Compared with the original fuzzy extreme learning machine, our approach is applicable for the online learning of classification or regression modeling and produces the same modeling accuracy. Moreover, our approach possesses the better modeling accuracy and stability than the other approach, namely, online sequential learning algorithm.
Capítulos de libros sobre el tema "ONLINE SEQUENTIAL FUZZY EXTREME LEARNING MACHINE"
Yin, Jianchuan y Nini Wang. "An Online Sequential Extreme Learning Machine for Tidal Prediction Based on Improved Gath-Geva Fuzzy Segmentation". En Proceedings in Adaptation, Learning and Optimization, 243–52. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14066-7_24.
Texto completoHoang, Minh-Tuan T., Hieu T. Huynh, Nguyen H. Vo y Yonggwan Won. "A Robust Online Sequential Extreme Learning Machine". En Advances in Neural Networks – ISNN 2007, 1077–86. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-72383-7_126.
Texto completoSingh, Ram Pal, Neelam Dabas, Vikash Chaudhary y Nagendra. "Online Sequential Extreme Learning Machine for Watermarking". En Proceedings in Adaptation, Learning and Optimization, 115–24. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14066-7_12.
Texto completoZhao, Zhongtang, Li Liu, Lingling Li y Qian Ma. "SLOSELM: Self Labeling Online Sequential Extreme Learning Machine". En Internet and Distributed Computing Systems, 179–89. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-45940-0_16.
Texto completoJia, Xibin, Runyuan Wang, Junfa Liu y David M. W. Powers. "A Semi-supervised Online Sequential Extreme Learning Machine Method". En Proceedings of ELM-2014 Volume 1, 301–10. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14063-6_26.
Texto completoMirza, Bilal, Stanley Kok y Fei Dong. "Multi-layer Online Sequential Extreme Learning Machine for Image Classification". En Proceedings of ELM-2015 Volume 1, 39–49. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28397-5_4.
Texto completoHuang, Shan, Botao Wang, Junhao Qiu, Jitao Yao, Guoren Wang y Ge Yu. "Parallel Ensemble of Online Sequential Extreme Learning Machine Based on MapReduce". En Proceedings of ELM-2014 Volume 1, 31–40. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14063-6_3.
Texto completoYin, Jianchuan, Lianbo Li, Yuchi Cao y Jian Zhao. "An Adaptive Online Sequential Extreme Learning Machine for Real-Time Tidal Level Prediction". En Proceedings in Adaptation, Learning and Optimization, 55–66. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28373-9_5.
Texto completoHuang, Shan, Botao Wang, Yuemei Chen, Guoren Wang y Ge Yu. "Efficient Batch Parallel Online Sequential Extreme Learning Machine Algorithm Based on MapReduce". En Proceedings of ELM-2015 Volume 1, 13–25. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28397-5_2.
Texto completoXu, Xiaoming, Chenglin Wen, Weijie Chen y Siyu Ji. "The Parameter Updating Method Based on Kalman Filter for Online Sequential Extreme Learning Machine". En Proceedings in Adaptation, Learning and Optimization, 80–102. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01520-6_8.
Texto completoActas de conferencias sobre el tema "ONLINE SEQUENTIAL FUZZY EXTREME LEARNING MACHINE"
Yu Jun y Meng Joo Er. "An Enhanced Online Sequential Extreme Learning Machine algorithm". En 2008 Chinese Control and Decision Conference (CCDC). IEEE, 2008. http://dx.doi.org/10.1109/ccdc.2008.4597855.
Texto completoZhang, Senyue, Wenan Tan y Yibo Li. "A Survey of Online Sequential Extreme Learning Machine". En 2018 5th International Conference on Control, Decision and Information Technologies (CoDIT). IEEE, 2018. http://dx.doi.org/10.1109/codit.2018.8394791.
Texto completoChacko, B. P. y A. P. Babu. "Online sequential extreme learning machine based handwritten character recognition". En 2011 IEEE Students' Technology Symposium (TechSym). IEEE, 2011. http://dx.doi.org/10.1109/techsym.2011.5783843.
Texto completoYuan Lan, Yeng Chai Soh y Guang-Bin Huang. "A constructive enhancement for Online Sequential Extreme Learning Machine". En 2009 International Joint Conference on Neural Networks (IJCNN 2009 - Atlanta). IEEE, 2009. http://dx.doi.org/10.1109/ijcnn.2009.5178608.
Texto completoRau, Francisco, Ismael Soto, Pablo Adasme, David Zabala-Blanco y Cesar A. Azurdia-Meza. "Network Traffic Prediction Using Online-Sequential Extreme Learning Machine". En 2021 Third South American Colloquium on Visible Light Communications (SACVLC). IEEE, 2021. http://dx.doi.org/10.1109/sacvlc53127.2021.9652247.
Texto completoChen, Yi-Ta, Yu-Chuan Chuang y An-Yeu Andy Wu. "AdaBoost-assisted Extreme Learning Machine for Efficient Online Sequential Classification". En 2019 IEEE International Workshop on Signal Processing Systems (SiPS). IEEE, 2019. http://dx.doi.org/10.1109/sips47522.2019.9020609.
Texto completoLu, Siyuan, Hainan Wang, Xueyan Wu y Shuihua Wang. "Pathological brain detection based on online sequential extreme learning machine". En 2016 International Conference on Progress in Informatics and Computing (PIC). IEEE, 2016. http://dx.doi.org/10.1109/pic.2016.7949498.
Texto completoLiu, Ye, Weipeng Cao, Yiwen Liu, Dachuan Li y Qiang Wang. "Ensemble Online Sequential Extreme Learning Machine for Air Quality Prediction". En 2021 IEEE 7th International Conference on Control Science and Systems Engineering (ICCSSE). IEEE, 2021. http://dx.doi.org/10.1109/iccsse52761.2021.9545089.
Texto completoLiu, Zongying y Kitsuchart Pasupa. "Online Sequential Extreme Learning Machine based Instinct Plasticity for Classification". En 2020 12th International Conference on Information Technology and Electrical Engineering (ICITEE). IEEE, 2020. http://dx.doi.org/10.1109/icitee49829.2020.9271686.
Texto completoMaliha, Ayman, Rubiyah Yusof y Ahmed Madani. "Online sequential-extreme learning machine based detector on training-learning-detection framework". En 2015 10th Asian Control Conference (ASCC). IEEE, 2015. http://dx.doi.org/10.1109/ascc.2015.7244867.
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