Prediction of specific cutting energy in natural stone cutting processes using the neuro-fuzzy methodology

International Journal of Rock Mechanics and Mining Sciences

Volumn 67, Issue , 2014, Pages 127-135

  Yurdakul, Murat ^a   Gopalakrishnan, Kasthurirangan ^b   Akdas, Hurriyet ^c  

^a BILECIK SEYH EDEBALI UNIVERSITY   (Turkey)

^b Iowa State University   (United States)

^c ESKISEHIR OSMANGAZI UNIVERSITY   (Turkey)

Author keywords

Adaptive hybrid intelligence techniques; Circular cutting tools; Natural stone cutting; Specific cutting energy

Indexed keywords

BENDING STRENGTH; COMPRESSIVE STRENGTH; FORECASTING; FUZZY INFERENCE; FUZZY NEURAL NETWORKS; FUZZY SYSTEMS; PRODUCTION CONTROL;

ADAPTIVE HYBRID INTELLIGENCE TECHNIQUE; CIRCULAR CUTTING TOOL; CUTTING PROCESS; ENERGY PREDICTION; HYBRID INTELLIGENCE; NATURAL STONE CUTTING; NATURAL STONES; NEURO-FUZZY INFERENCE SYSTEMS; SPECIFIC CUTTING ENERGY; STONE CUTTING;

CUTTING TOOLS;

ACCURACY ASSESSMENT; COMPRESSIVE STRENGTH; CUTTING; FUZZY MATHEMATICS; NUMERICAL MODEL; ROCK MECHANICS; TOOL USE; UNIAXIAL TEST;

EID: 84894437018     PISSN: 13651609     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijrmms.2014.01.015     Document Type: Article

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