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Yen-Ping Chen
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2020 – today
- 2021
- [j6]Wei Kuang Lai
, Chin-Shiuh Shieh
Task Scheduling With Multicore Edge Computing in Dense Small Cell Networks. IEEE Access 9: 141223-141232 (2021)
2000 – 2009
- 2009
- [j5]Jeen-Shing Wang, Yu-Liang Hsu, Hung-Yi Lin, Yen-Ping Chen:
Minimal model dimension/order determination algorithms for recurrent neural networks. Pattern Recognit. Lett. 30(9): 812-819 (2009) - 2008
- [j4]Yen-Ping Chen, Jhun-Ying Yang, Shun-Nan Liou, Gwo-Yun Lee, Jeen-Shing Wang:
Online classifier construction algorithm for human activity detection using a tri-axial accelerometer. Appl. Math. Comput. 205(2): 849-860 (2008) - [j3]Jhun-Ying Yang, Jeen-Shing Wang, Yen-Ping Chen:
Using acceleration measurements for activity recognition: An effective learning algorithm for constructing neural classifiers. Pattern Recognit. Lett. 29(16): 2213-2220 (2008) - [j2]Jeen-Shing Wang, Yen-Ping Chen:
A Hammerstein Recurrent Neurofuzzy Network With an Online Minimal Realization Learning Algorithm. IEEE Trans. Fuzzy Syst. 16(6): 1597-1612 (2008) - 2007
- [c5]Jhun-Ying Yang, Yen-Ping Chen, Gwo-Yun Lee, Shun-Nan Liou, Jeen-Shing Wang:
Activity Recognition Using One Triaxial Accelerometer: A Neuro-fuzzy Classifier with Feature Reduction. ICEC 2007: 395-400 - 2006
- [j1]Jeen-Shing Wang, Yen-Ping Chen:
A fully automated recurrent neural network for unknown dynamic system identification and control. IEEE Trans. Circuits Syst. I Regul. Pap. 53-I(6): 1363-1372 (2006) - [c4]Jeen-Shing Wang, Yen-Ping Chen:
A Hammerstein Neuro-Fuzzy Network with an Online Hybrid Construction Algorithm for Dynamic Applications. FUZZ-IEEE 2006: 2104-2111 - [c3]Yen-Ping Chen, Jeen-Shing Wang:
A Novel Nonlinear Dynamical System Control Using Linear Controllers with Nonlinearity Eliminators. IJCNN 2006: 5281-5288 - 2005
- [c2]Yen-Ping Chen, Jeen-Shing Wang:
An Automated Hammerstein Recurrent Neural Network for Dynamic Applications. Computational Intelligence 2005: 193-198 - [c1]Yen-Ping Chen, Jeen-Shing Wang:
Identification of chaotic systems using a self-constructing recurrent neural network. SMC 2005: 2150-2155
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