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Liang-Chi Shen
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2010 – 2019
- 2019
- [c10]Liang-Chi Shen, Ting-Ting Wu, Wen-Chun Hsu:
The Application of Augmented Reality to the Education of Chemistry - Take the Course of Nature Science in Junior High School as an Example. ICITL 2019: 41-48 - 2016
- [c9]Kou-Yuan Huang, Liang-Chi Shen, Jiun-Der You, Li-Sheng Weng:
Proof of hidden node number and experiments on RBF network for well log data inversion. IGARSS 2016: 2791-2794 - 2015
- [c8]Kou-Yuan Huang, Liang-Chi Shen, Jiun-Der You:
Proof of hidden node number in MLP and experiments on well log data inversion. IJCNN 2015: 1-6 - 2013
- [c7]Kou-Yuan Huang, Liang-Chi Shen, Kai-Ju Chen, Ming-Che Huang:
Multilayer perceptron with genetic algorithm for well log data inversion. IGARSS 2013: 1544-1547 - 2012
- [c6]Kou-Yuan Huang, Kai-Ju Chen, Ming-Che Huang, Liang-Chi Shen:
Multilayer perceptron with particle swarm optimization for well log data inversion. IGARSS 2012: 6103-6106 - [c5]Kou-Yuan Huang, Liang-Chi Shen, Kai-Ju Chen, Ming-Che Huang:
Multilayer perceptron learning with particle swarm optimization for well log data inversion. IJCNN 2012: 1-6 - 2011
- [c4]Kou-Yuan Huang, Liang-Chi Shen, Li-Sheng Weng:
Well log data inversion using radial basis function network. IGARSS 2011: 4439-4442 - [c3]Kou-Yuan Huang, Liang-Chi Shen, Li-Sheng Weng:
Radial basis function network for well log data inversion. IJCNN 2011: 1093-1098
2000 – 2009
- 2008
- [c2]Kou-Yuan Huang, Liang-Chi Shen, Chun-Yu Chen:
Well Log Data Inversion using Higher Order Neural Networks. IGARSS (3) 2008: 1107-1110 - [c1]Kou-Yuan Huang, Liang-Chi Shen, Chun-Yu Chen:
Higher order neural networks for well log data inversion. IJCNN 2008: 2545-2550
1990 – 1999
- 1993
- [j2]Jiang Li, Liang-Chi Shen:
Vertical eigenstate method for simulation of induction and MWD resistivity sensors. IEEE Trans. Geosci. Remote. Sens. 31(2): 399-406 (1993) - 1991
- [j1]Kuang-Fu Han, Chalmers M. Butler, Liang-Chi Shen, Helen Y. He, Mark A. Harris:
High-frequency, complex dielectric permittivity of saline solution at elevated temperatures. IEEE Trans. Geosci. Remote. Sens. 29(1): 48-56 (1991)
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