Surface roughness prediction in machining using soft computing

International Journal of Computer Integrated Manufacturing

Volumn 22, Issue 3, 2009, Pages 257-266

  Samanta, B ^a  

^a Villanova University   (United States)

Author keywords

Artificial neural network; Average roughness; Computational intelligence; Fuzzy logic; Genetic algorithm; Machining; Process monitoring; Surface texture

Indexed keywords

ALUMINUM ALLOYS; ARTIFICIAL INTELLIGENCE; FUZZY INFERENCE; FUZZY LOGIC; FUZZY NEURAL NETWORKS; FUZZY SYSTEMS; GENETIC ALGORITHMS; GENETIC PROGRAMMING; INFERENCE ENGINES; MACHINING; MEMBERSHIP FUNCTIONS; MILLING (MACHINING); NEURAL NETWORKS; PROCESS MONITORING; SOFT COMPUTING; TEXTURES;

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; GENETIC ALGORITHM (GAS); MACHINING PARAMETERS; ROUGHNESS PREDICTIONS; SOFTCOMPUTING TECHNIQUES; SURFACE TEXTURES; VALIDATION DATA; VERTICAL MACHINING;

SURFACE ROUGHNESS;

EID: 61449263062     PISSN: 0951192X     EISSN: 13623052     Source Type: Journal    
DOI: 10.1080/09511920802287138     Document Type: Article

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