TWI791930B - 用於分類半導體樣本中的缺陷的系統、方法及電腦可讀取媒體 - Google Patents
用於分類半導體樣本中的缺陷的系統、方法及電腦可讀取媒體 Download PDFInfo
- Publication number
- TWI791930B TWI791930B TW108146199A TW108146199A TWI791930B TW I791930 B TWI791930 B TW I791930B TW 108146199 A TW108146199 A TW 108146199A TW 108146199 A TW108146199 A TW 108146199A TW I791930 B TWI791930 B TW I791930B
- Authority
- TW
- Taiwan
- Prior art keywords
- defects
- defect
- majority
- category
- minority
- Prior art date
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/28—Databases characterised by their database models, e.g. relational or object models
- G06F16/284—Relational databases
- G06F16/285—Clustering or classification
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
- G06N20/20—Ensemble learning
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computing arrangements using knowledge-based models
- G06N5/01—Dynamic search techniques; Heuristics; Dynamic trees; Branch-and-bound
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N7/00—Computing arrangements based on specific mathematical models
- G06N7/01—Probabilistic graphical models, e.g. probabilistic networks
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- Software Systems (AREA)
- Evolutionary Computation (AREA)
- Artificial Intelligence (AREA)
- Computing Systems (AREA)
- Mathematical Physics (AREA)
- Databases & Information Systems (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Medical Informatics (AREA)
- Computational Mathematics (AREA)
- Pure & Applied Mathematics (AREA)
- Mathematical Optimization (AREA)
- Mathematical Analysis (AREA)
- Computational Linguistics (AREA)
- Probability & Statistics with Applications (AREA)
- Algebra (AREA)
- Life Sciences & Earth Sciences (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Evolutionary Biology (AREA)
- Bioinformatics & Computational Biology (AREA)
- Testing Or Measuring Of Semiconductors Or The Like (AREA)
- Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
- Image Analysis (AREA)
- Image Processing (AREA)
- Analysing Materials By The Use Of Radiation (AREA)
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US16/228,676 | 2018-12-20 | ||
| US16/228,676 US11321633B2 (en) | 2018-12-20 | 2018-12-20 | Method of classifying defects in a specimen semiconductor examination and system thereof |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| TW202038110A TW202038110A (zh) | 2020-10-16 |
| TWI791930B true TWI791930B (zh) | 2023-02-11 |
Family
ID=71097693
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| TW108146199A TWI791930B (zh) | 2018-12-20 | 2019-12-17 | 用於分類半導體樣本中的缺陷的系統、方法及電腦可讀取媒體 |
Country Status (6)
| Country | Link |
|---|---|
| US (1) | US11321633B2 (https=) |
| JP (1) | JP7254921B2 (https=) |
| KR (1) | KR102530950B1 (https=) |
| CN (1) | CN112805719B (https=) |
| TW (1) | TWI791930B (https=) |
| WO (1) | WO2020129041A1 (https=) |
Families Citing this family (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110286279B (zh) * | 2019-06-05 | 2021-03-16 | 武汉大学 | 基于极端树与堆栈式稀疏自编码算法的电力电子电路故障诊断方法 |
| US11379969B2 (en) * | 2019-08-01 | 2022-07-05 | Kla Corporation | Method for process monitoring with optical inspections |
| US11568317B2 (en) | 2020-05-21 | 2023-01-31 | Paypal, Inc. | Enhanced gradient boosting tree for risk and fraud modeling |
| TWI770817B (zh) * | 2021-02-09 | 2022-07-11 | 鴻海精密工業股份有限公司 | 瑕疵檢測方法、電子裝置及存儲介質 |
| CN119359475A (zh) * | 2024-12-23 | 2025-01-24 | 济南农智信息科技有限公司 | 一种边坡土壤肥力预测方法 |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104458755A (zh) * | 2014-11-26 | 2015-03-25 | 吴晓军 | 一种基于机器视觉的多类型材质表面缺陷检测方法 |
| US20150088791A1 (en) * | 2013-09-24 | 2015-03-26 | International Business Machines Corporation | Generating data from imbalanced training data sets |
| TW201636907A (zh) * | 2014-12-31 | 2016-10-16 | 應用材料以色列公司 | 用於自動分類之參數的調諧 |
| TW201823986A (zh) * | 2016-09-19 | 2018-07-01 | 美商應用材料股份有限公司 | 使用k最近鄰域及邏輯式迴歸方法的時間序列故障偵測、故障分類及轉變分析 |
| TW201830464A (zh) * | 2016-11-29 | 2018-08-16 | 台灣積體電路製造股份有限公司 | 預測晶圓缺陷的方法 |
Family Cites Families (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20030204507A1 (en) | 2002-04-25 | 2003-10-30 | Li Jonathan Qiang | Classification of rare events with high reliability |
| JP4118703B2 (ja) * | 2002-05-23 | 2008-07-16 | 株式会社日立ハイテクノロジーズ | 欠陥分類装置及び欠陥自動分類方法並びに欠陥検査方法及び処理装置 |
| US7756320B2 (en) | 2003-03-12 | 2010-07-13 | Hitachi High-Technologies Corporation | Defect classification using a logical equation for high stage classification |
| JP4443270B2 (ja) | 2003-03-12 | 2010-03-31 | 株式会社日立ハイテクノロジーズ | 欠陥分類方法 |
| US20090097741A1 (en) * | 2006-03-30 | 2009-04-16 | Mantao Xu | Smote algorithm with locally linear embedding |
| JP5156452B2 (ja) * | 2008-03-27 | 2013-03-06 | 東京エレクトロン株式会社 | 欠陥分類方法、プログラム、コンピュータ記憶媒体及び欠陥分類装置 |
| CN102095731A (zh) * | 2010-12-02 | 2011-06-15 | 山东轻工业学院 | 在纸张缺陷视觉检测中识别不同缺陷类型的系统及方法 |
| TWI574136B (zh) * | 2012-02-03 | 2017-03-11 | 應用材料以色列公司 | 基於設計之缺陷分類之方法及系統 |
| US9489599B2 (en) * | 2013-11-03 | 2016-11-08 | Kla-Tencor Corp. | Decision tree construction for automatic classification of defects on semiconductor wafers |
| US9286675B1 (en) * | 2014-10-23 | 2016-03-15 | Applied Materials Israel Ltd. | Iterative defect filtering process |
| US9898811B2 (en) | 2015-05-08 | 2018-02-20 | Kla-Tencor Corporation | Method and system for defect classification |
| US10436720B2 (en) * | 2015-09-18 | 2019-10-08 | KLA-Tenfor Corp. | Adaptive automatic defect classification |
| CN105677564A (zh) * | 2016-01-04 | 2016-06-15 | 中国石油大学(华东) | 基于改进的Adaboost软件缺陷不平衡数据分类方法 |
| CN106778853A (zh) * | 2016-12-07 | 2017-05-31 | 中南大学 | 基于权重聚类和欠抽样的不平衡数据分类方法 |
| US11416979B2 (en) | 2017-01-18 | 2022-08-16 | Asml Netherlands B.V. | Defect displaying method |
| CN108596199A (zh) * | 2017-12-29 | 2018-09-28 | 北京交通大学 | 基于EasyEnsemble算法和SMOTE算法的不均衡数据分类方法 |
| CN108470187A (zh) * | 2018-02-26 | 2018-08-31 | 华南理工大学 | 一种基于扩充训练数据集的类别不平衡问题分类方法 |
-
2018
- 2018-12-20 US US16/228,676 patent/US11321633B2/en active Active
-
2019
- 2019-11-24 CN CN201980065723.0A patent/CN112805719B/zh active Active
- 2019-11-24 WO PCT/IL2019/051284 patent/WO2020129041A1/en not_active Ceased
- 2019-11-24 KR KR1020217015166A patent/KR102530950B1/ko active Active
- 2019-11-24 JP JP2021524054A patent/JP7254921B2/ja active Active
- 2019-12-17 TW TW108146199A patent/TWI791930B/zh active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150088791A1 (en) * | 2013-09-24 | 2015-03-26 | International Business Machines Corporation | Generating data from imbalanced training data sets |
| CN104458755A (zh) * | 2014-11-26 | 2015-03-25 | 吴晓军 | 一种基于机器视觉的多类型材质表面缺陷检测方法 |
| TW201636907A (zh) * | 2014-12-31 | 2016-10-16 | 應用材料以色列公司 | 用於自動分類之參數的調諧 |
| TW201823986A (zh) * | 2016-09-19 | 2018-07-01 | 美商應用材料股份有限公司 | 使用k最近鄰域及邏輯式迴歸方法的時間序列故障偵測、故障分類及轉變分析 |
| TW201830464A (zh) * | 2016-11-29 | 2018-08-16 | 台灣積體電路製造股份有限公司 | 預測晶圓缺陷的方法 |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112805719A (zh) | 2021-05-14 |
| JP2022512292A (ja) | 2022-02-03 |
| KR20210105335A (ko) | 2021-08-26 |
| CN112805719B (zh) | 2024-12-17 |
| US20200202252A1 (en) | 2020-06-25 |
| WO2020129041A1 (en) | 2020-06-25 |
| TW202038110A (zh) | 2020-10-16 |
| KR102530950B1 (ko) | 2023-05-11 |
| JP7254921B2 (ja) | 2023-04-10 |
| US11321633B2 (en) | 2022-05-03 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| TWI791930B (zh) | 用於分類半導體樣本中的缺陷的系統、方法及電腦可讀取媒體 | |
| CN114092387B (zh) | 生成可用于检查半导体样本的训练数据 | |
| JP7286290B2 (ja) | 半導体試料の欠陥を分類する方法およびそのシステム | |
| TWI864281B (zh) | 對半導體試樣上的一感興趣圖案(poi)進行分類的系統與方法,及電腦程式產品執行訓練一機器學習模型的方法以生成可用於對poi進行分類的資料 | |
| TWI889675B (zh) | 基於機器學習之半導體樣本中的缺陷分類之方法、系統及非暫態電腦可讀取媒體 | |
| US11138507B2 (en) | System, method and computer program product for classifying a multiplicity of items | |
| US10803575B2 (en) | System, method and computer program product for generating a training set for a classifier | |
| CN112424826A (zh) | 基于机器学习的图案分组方法 | |
| CN110945528A (zh) | 产生可用于检查半导体样品的训练集的方法及其系统 | |
| TWI772735B (zh) | 對半導體取樣中的缺陷進行分類的方法及其系統 | |
| US11940390B2 (en) | Selecting a representative subset of potential defects to improve defect classifier training and estimation of expected defects of interest | |
| US10921334B2 (en) | System, method and computer program product for classifying defects |