A comparative study of generalized regression neural network approach and adaptive neuro-fuzzy inference systems for prediction of unconfined compressive strength of rocks

Neural Computing and Applications

Volumn 23, Issue 2, 2013, Pages 499-506

  Singh, Rajesh ^a   Vishal, V ^a,b   Singh, T N ^a   Ranjith, P G ^b  

^a INDIAN INSTITUTE OF TECHNOLOGY BOMBAY   (India)

^b MONASH UNIVERSITY   (Australia)

Author keywords

ANFIS; Conjugate gradient descent algorithms; GRNN; Seismic waves; UCS

Indexed keywords

COMPRESSIVE STRENGTH; CONJUGATE GRADIENT METHOD; FUZZY NEURAL NETWORKS; FUZZY SYSTEMS; LEARNING ALGORITHMS; MEAN SQUARE ERROR; MINERALS; ROCKS; SEISMIC WAVES; SEISMOLOGY; SHEAR FLOW; SHEAR WAVES;

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; ANFIS; CONJUGATE GRADIENT DESCENTS; GENERALIZED REGRESSION NEURAL NETWORK(GRNN); GENERALIZED REGRESSION NEURAL NETWORKS; GRNN; MEAN ABSOLUTE PERCENTAGE ERROR; UNCONFINED COMPRESSIVE STRENGTH;

FUZZY INFERENCE;

EID: 84880719947     PISSN: 09410643     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00521-012-0944-z     Document Type: Article

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