 | 2009 |
|---|
| 5 |       | Young-Don Ko,
Pyung Moon,
Chang Eun Kim,
Moon-Ho Ham,
Jae-Min Myoung,
Ilgu Yun:
Modeling and optimization of the growth rate for ZnO thin films using neural networks and genetic algorithms.
Expert Syst. Appl. 36(2): 4061-4066 (2009) |
| 2007 |
|---|
| 4 |  | Young-Don Ko,
Moon-Ho Ham,
Jae-Min Myoung,
Ilgu Yun:
Effect of the principal component on the PCA-based neural network model for HFO2 thin film characteristics.
Artificial Intelligence and Applications 2007: 255-261 |
| 3 | | Kyoung Eun Kweon,
Jung Hwan Lee,
Young-Don Ko,
Min-Chang Jeong,
Jae-Min Myoung,
Ilgu Yun:
Neural network based modeling of HfO2 thin film characteristics using Latin Hypercube Sampling.
Expert Syst. Appl. 32(2): 358-363 (2007) |
| 2006 |
|---|
| 2 | | Jung Hwan Lee,
Young-Don Ko,
Min-Chang Jeong,
Jae-Min Myoung,
Ilgu Yun:
PCA-Based Neural Network Modeling Using the Photoluminescence Data for Growth Rate of ZnO Thin Films Fabricated by Pulsed Laser Deposition.
ISNN (2) 2006: 1099-1104 |
| 1 | | Myoung-Seok Kim,
Young-Don Ko,
Tae-Houng Moon,
Jae-Min Myoung,
Ilgu Yun:
Modeling growth rate of HfO2 thin films grown by metal-organic molecular beam epitaxy.
Microelectronics Journal 37(2): 98-106 (2006) |
