Development of an artificial neural network algorithm for predicting the surface roughness in end milling of Inconel 718 alloy

Proceedings of the International Conference on Computer and Communication Engineering 2008, ICCCE08: Global Links for Human Development

Volumn , Issue , 2008, Pages 1321-1324

  Hossain, Mohammad Ishtiyaq ^a   Nurul Amin, A K M ^a   Patwari, Anayet U ^a  

^a INTERNATIONAL ISLAMIC UNIVERSITY MALAYSIA   (Malaysia)

Author keywords

[No Author keywords available]

Indexed keywords

ALLOYS; BACKPROPAGATION; CARBIDES; CHLORINE COMPOUNDS; COMMINUTION; ECONOMIC ANALYSIS; FORECASTING; FRICTION; IMAGE CLASSIFICATION; METAL ANALYSIS; METAL CUTTING; METALS; MILLING (MACHINING); NICKEL; NICKEL ALLOYS; PARAMETER ESTIMATION; SPEED; STATISTICAL METHODS; STATISTICS; SURFACE PROPERTIES; SURFACE ROUGHNESS; TECHNOLOGY;

ANN MODELING; ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEURAL NETWORK MODELS; AXIAL DEPTH OF CUT; COMMUNICATION ENGINEERING; CUTTING CONDITIONS; CUTTING OPERATIONS; CUTTING PARAMETERS; CUTTING SPEEDS; DATA-SETS; ECONOMIC PRODUCTION; END-MILLING; EXPERIMENTAL DATA; EXPERIMENTAL MEASUREMENTS; FEED-FORWARD BACK-PROPAGATION; FULL FACTORIAL; HIGH-SPEED END MILLING; HUMAN DEVELOPMENTS; INCONEL 718 ALLOY; INPUT PARAMETERS; INTERNATIONAL CONFERENCES; PREDICTIVE MODELING; SINGLE LAYERS; STATISTICAL EXPERIMENTAL DESIGNS; THREE-LEVEL;

NEURAL NETWORKS;

EID: 51849129542     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCCE.2008.4580819     Document Type: Conference Paper

References (11)

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