Litcius/Paper detail

Enhanced feature selection technique using slime mould algorithm: a case study on chemical data

Ahmed A. Ewees, Mohammed A. A. Al‐qaness, Laith Abualigah, Zakariya Yahya Algamal, Diego Oliva, Dalia Yousri, Mohamed Abd Elaziz

2022Neural Computing and Applications25 citationsDOIOpen Access PDF

Topics & Concepts

Feature selectionComputer scienceRate of convergenceLocal optimumAlgorithmProcess (computing)PreprocessorSelection (genetic algorithm)Data pre-processingFeature (linguistics)Convergence (economics)Data miningWord error rateDimension (graph theory)MetaheuristicArtificial intelligenceMachine learningMathematical optimizationPattern recognition (psychology)MathematicsKey (lock)Computer securityPure mathematicsPhilosophyEconomic growthOperating systemEconomicsLinguisticsSlime Mold and Myxomycetes ResearchNeural Networks and ApplicationsCell Image Analysis Techniques
Enhanced feature selection technique using slime mould algorithm: a case study on chemical data | Litcius