Using Artificial Neural Network to Forecast the Optoelectric Characteristics of Epitaxy for Super Hot Run
碩士 === 國立成功大學 === 工程科學系專班 === 101 === Currently in Light Emitting Diode (LED) industry, the market demand has risen sharply because of the worldwide eco-awareness. While the global economy is in a slump in recent years, the selling price of LED decreases significantly and, to make things worse, the...
Main Authors: | Jia-LingWun, 溫佳鈴 |
---|---|
Other Authors: | Tzone-I Wang |
Format: | Others |
Language: | zh-TW |
Published: |
2013
|
Online Access: | http://ndltd.ncl.edu.tw/handle/37237271030776078331 |
Similar Items
-
Study on the Optoelectrical Characteristics for the Epitaxial Structure of Blue LEDs
by: Chi-Hong Lai, et al. -
The research on optoelectrical characteristics of organic memory
by: Cheng, Yu-Han, et al.
Published: (2019) -
Harvesting Philosopher's Wool: A Study in the Growth, Structure and Optoelectrical Behaviour of Epitaxial ZnO
by: Lee, William (Chun-To)
Published: (2009) -
The Researches on the Optoelectric Characteristics of Color-Tunable Ultraviolet Organic Light Emitting Devices
by: Hui-LingWeng, et al.
Published: (2013) -
Optoelectrical studies of ZnO
by: Hensler, Martin Josef Hermann
Published: (2011)