Application of neural networks and genetic algorithms to the screening for high quality chips-Reference-Cited by-同舟云学术

Application of neural networks and genetic algorithms to the screening for high quality chips

Published:2009-03 Issue:2 Volume:9 Page:824-832
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Huang Chenn-Jung,Chen You-Jia,Wu Chi-Feng,Huang Yi-An

Publisher

Elsevier BV

Subject

Software

Reference39 articles.

1. Self-organization for object extraction using a multilayer neural network and fuzziness measures;Ghosh;IEEE Transactions on Fuzzy Systems,1993

2. Genetic algorithms with fuzzy fitness function for object extraction using cellular networks;Pal;Fuzzy Sets and Systems,1994

3. A neural-network approach to recognize defect spatial pattern in semiconductor fabrication;Chen;IEEE Transactions on Semiconductor Manufacturing,2000

4. Automatic defect classification in visual inspection of semiconductors using neural networks;Kameyama;IEICE Transactions on Information & Systems,1998

5. A learnable cellular neural network structure with ratio memory for image processing;Wu;IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications,2002

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Advances in machine learning and deep learning applications towards wafer map defect recognition and classification: a review;Journal of Intelligent Manufacturing;2022-08-23

2. A Review and Analysis of Automatic Optical Inspection and Quality Monitoring Methods in Electronics Industry;IEEE Access;2020

3. Evolutionary Fuzzy ARTMAP Neural Networks for Classification of Semiconductor Defects;IEEE Transactions on Neural Networks and Learning Systems;2015-05

4. Modeling glass-forming ability of bulk metallic glasses using computational intelligent techniques;Applied Soft Computing;2015-03

5. Modeling the oxidative coupling of methane using artificial neural network and optimizing of its operational conditions using genetic algorithm;Korean Journal of Chemical Engineering;2012-01-25