Using MTS and Neural Network for WAT and Circuit Probe yield model in Semiconductor Process.
碩士 === 明志科技大學 === 工業管理研究所 === 96 === Wafer yield is important key index of financial affairs, process capability and even guarantee the products could be supplied steadily. Under present control parameter and method adopted, appear some wafers yield on the low side, even zero.With the hiving off of...
Main Authors: | Bing-De Wu, 吳秉德 |
---|---|
Other Authors: | Chien-Chih Wang |
Format: | Others |
Language: | zh-TW |
Published: |
2008
|
Online Access: | http://ndltd.ncl.edu.tw/handle/62549901535087578970 |
Similar Items
-
Modeling of Wafer Die Yield by WAT Parameters
by: Chen-Yu Wang, et al.
Published: (2007) -
A yield Analysis Model for Correlating Critical WAT Parameters with Machines
by: 吳冠穎
Published: (2006) -
CLASSIFICATION AND PREDICTION OF WAFER PROBE YIELD IN DRAM MANUFACTURING USING MAHALANOBIS-TAGUCHI SYSTEM AND NEURAL NETWORK
by: Wang, Chien-Chih, et al.
Published: (2019-05-01) -
Reliability-yield allocation for semiconductor integrated circuits: modeling and optimization
by: Ha, Chunghun
Published: (2005) -
Hotspot Detection of Semiconductor Lithography Circuits Based on Convolutional Neural Network
by: Xingyu Zhou, et al.
Published: (2018-12-01)