Research on asymmetrical edge tool wear prediction in milling TC4 titanium alloy using deep learning
Yong Yang, Xuefeng Zhao, Lei Zhao
Topics & Concepts
AutoencoderArtificial neural networkTool wearEnhanced Data Rates for GSM EvolutionMean squared errorTitanium alloyArtificial intelligenceFeature (linguistics)Computer scienceGeneralizationFeature extractionMachine learningMaterials sciencePattern recognition (psychology)MathematicsMachiningStatisticsAlloyMetallurgyPhilosophyLinguisticsMathematical analysisAdvanced machining processes and optimizationAdvanced Machining and Optimization TechniquesEngineering Technology and Methodologies