Review of empirical modelling techniques for modelling of turning process

International Journal of Modelling, Identification and Control

Volumn 20, Issue 2, 2013, Pages 121-129

  Garg, Akhil ^a   Bhalerao, Yogesh ^b   Tai, Kang ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^b MIT Academy of Engineering   (India)

Author keywords

ANN; Artificial neural network; Empirical; Genetic programming; Modelling; Regression analysis; Review; Support vector machines; SVM; Turning

Indexed keywords

FUZZY LOGIC; FUZZY NEURAL NETWORKS; GENETIC ALGORITHMS; GENETIC PROGRAMMING; MODELS; NEURAL NETWORKS; REGRESSION ANALYSIS; REVIEWS; SUPPORT VECTOR MACHINES; UNCERTAINTY ANALYSIS;

EMPIRICAL; EMPIRICAL MODELLING; MACHINING PROCESS; TURNING PROCESS;

TURNING;

EID: 84883578713     PISSN: 17466172     EISSN: 17466180     Source Type: Journal    
DOI: 10.1504/IJMIC.2013.056184     Document Type: Review

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