Soft computing method for assessment of compressional wave velocity

Scientia Iranica

Volumn 19, Issue 4, 2012, Pages 1018-1024

  Singh, R ^a   Vishal, V ^a,b   Singh, T N ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY BOMBAY   (India)

^b MONASH UNIVERSITY   (Australia)

Author keywords

Adaptive neuro fuzzy inference system (ANFIS); Artificial neural network; Fuzzy inference system; P wave; UCS

Indexed keywords

ACOUSTIC WAVE VELOCITY; COMPRESSIVE STRENGTH; FUZZY NEURAL NETWORKS; FUZZY SYSTEMS; HAMMERS; IMPACT STRENGTH; MEAN SQUARE ERROR; NEURAL NETWORKS; NONDESTRUCTIVE EXAMINATION; ROCK MECHANICS; ROCKS; SEISMIC WAVES; SOFT COMPUTING; WAVE PROPAGATION;

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; CIVIL ENGINEERING PROJECTS; COMPRESSIONAL WAVE VELOCITY; FUZZY INFERENCE SYSTEMS; MEAN ABSOLUTE PERCENTAGE ERROR; P WAVES; PHYSICOMECHANICAL PROPERTIES; UNIAXIAL COMPRESSIVE STRENGTH;

FUZZY INFERENCE;

ARTIFICIAL NEURAL NETWORK; CIVIL ENGINEERING; COMPRESSIVE STRENGTH; COMPUTER SIMULATION; DATA SET; FUZZY MATHEMATICS; GEOTECHNICAL ENGINEERING; MINING; MODEL VALIDATION; P-WAVE; PHYSICOCHEMICAL PROPERTY; WAVE VELOCITY;

EID: 84865268198     PISSN: 10263098     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.scient.2012.06.010     Document Type: Article

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