A Genetic Algorithm Based Feature Selection Approach for Microstructural Image Classification
- 6 May 2021
- journal article
- research article
- Published by Springer Science and Business Media LLC in Experimental Techniques
- Vol. 46 (2), 335-347
- https://doi.org/10.1007/s40799-021-00470-4
Abstract
No abstract availableKeywords
This publication has 47 references indexed in Scilit:
- A Hybrid Feature Selection Method for Classification PurposesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2014
- Grey Wolf OptimizerAdvances in Engineering Software, 2014
- BGSA: binary gravitational search algorithmNatural Computing, 2009
- Filter Methods for Feature Selection – A Comparative StudyPublished by Springer Science and Business Media LLC ,2007
- Hybrid genetic algorithms for feature selectionIEEE Transactions on Pattern Analysis and Machine Intelligence, 2004
- A study of microstructure, transformation mechanisms and correlation between microstructure and mechanical properties of a low alloyed TRIP steelActa Materialia, 2004
- Multiresolution gray-scale and rotation invariant texture classification with local binary patternsIEEE Transactions on Pattern Analysis and Machine Intelligence, 2002
- Statistical Description of MicrostructuresAnnual Review of Materials Research, 2002
- Dimensionality reduction using genetic algorithmsIEEE Transactions on Evolutionary Computation, 2000
- A NOTE ON GENETIC ALGORITHMS FOR LARGE-SCALE FEATURE SELECTIONPublished by World Scientific Pub Co Pte Ltd ,1993