An in-process neural network-based surface roughness prediction (INN-SRP) system using a dynamometer in end milling operations

International Journal of Advanced Manufacturing Technology

Volumn 21, Issue 5, 2003, Pages 339-347

  Huang, B ^a   Chen, J C ^a  

^a IOWA STATE UNIVERSITY   (United States)

Author keywords

Absolute average force; Average resultant peak force; Backpropagation; INN SRP system; Pearson correlation

Indexed keywords

BACKPROPAGATION; COSTS; CUTTING TOOLS; DECISION MAKING; DYNAMOMETERS; NEURAL NETWORKS; PRODUCTIVITY; STATISTICAL METHODS; SURFACE ROUGHNESS;

END MILLING; IN-PROCESS NEURAL NETWORK-BASED SURFACE ROUGHNESS PREDICTION;

MILLING (MACHINING);

EID: 0037277630     PISSN: 02683768     EISSN: None     Source Type: Journal    
DOI: 10.1007/s001700300039     Document Type: Article

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