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Hybrid kernel principal component regression and penalty strategy of multiple adaptive genetic algorithms for estimating optimum parameters in abrasive waterjet machining

Article ID Journal Published Year Pages File Type
6904373 Applied Soft Computing 2018 19 Pages PDF
Keywords
ProbabilityAdaptive genetic algorithmAbrasive waterjetPenalty methodRegressionPolynomial regressionNonlinearMachining processRobustSecond orderprincipal componentMulticollinearity
Related Topics
Physical Sciences and Engineering Computer Science Computer Science Applications
Preview
Hybrid kernel principal component regression and penalty strategy of multiple adaptive genetic algorithms for estimating optimum parameters in abrasive waterjet machining
Authors
Antoni Wibowo,
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Journal
Applied Soft Computing
Journal: Applied Soft Computing
Related Categories
Probability
Adaptive genetic algorithm
Abrasive waterjet
Penalty method
Regression
Polynomial regression
Nonlinear
Machining process
Robust
Second order
principal component
Multicollinearity
Artificial Intelligence
Computational Theory and Mathematics
Computer Graphics and Computer-Aided Design
Computer Networks and Communications
Computer Science (General)
Computer Science Applications
Computer Vision and Pattern Recognition
Hardware and Architecture
Human-Computer Interaction
Information Systems
Signal Processing
Software
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