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Statistical machine learning for the cognitive selection of nonlinear programming algorithms in engineering design optimization
D. A. Hoeltzel, Wei-Hua Chieng
機械工程學系
研究成果
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Conference contribution
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同行評審
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引文 斯高帕斯（Scopus）
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Keyphrases
Nonlinear Programming Problem
100%
Engineering Optimization
100%
Nonlinear Programming Algorithm
100%
Cognitive Selection
100%
Statistical Machine Learning
100%
Clustering Process
66%
Nonlinear Programming
66%
Statistical Pattern Recognition
66%
Optimization Problem
33%
Global-local
33%
Solution Algorithm
33%
Optimization Algorithm
33%
Programming Solution
33%
Design Information
33%
Problem Formulation
33%
Nonlinear Programming Method
33%
Statistical Aspects
33%
Global Design
33%
Statistical Clustering
33%
Engineering
Pattern Recognition
100%
Engineering
100%
Design Optimization
100%
Sample Data
100%
Learning System
100%
Optimisation Problem
50%
Generality
50%
Solution Algorithm
50%
Design Information
50%
Problem Formulation
50%
Computer Science
Nonlinear Programming
100%
Design Optimization
100%
Machine Learning
100%
Learning System
100%
clustering process
28%
Pattern Recognition
28%
Optimization Problem
14%
Programming Method
14%
Design Information
14%
Problem Formulation
14%
Chemical Engineering
Learning System
100%