Application of adaptive neuro-fuzzy technique to predict the unconfined compressive strength of PFA-sand-cement mixture

Powder Technology

Volumn 278, Issue , 2015, Pages 278-285

  Motamedi, Shervin ^a   Shamshirband, Shahaboddin ^a   Petković, Dalibor ^b   Hashim, Roslan ^a  

^a UNIVERSITY OF MALAYA   (Malaysia)

^b UNIVERSITY OF NI   (Serbia)

Author keywords

Enhancement; Ground improvement; Pulverized fuel ash; Soft computing, ANFIS; Unconfined compressive strength

Indexed keywords

CEMENTS; FORECASTING; FUELS; FUNCTIONS; FUZZY INFERENCE; IMAGE ENHANCEMENT; MIXTURES; NEURAL NETWORKS; PULVERIZED FUEL; SAND; SOFT COMPUTING; STRENGTH OF MATERIALS; UNCERTAINTY ANALYSIS;

ADAPTIVE NEURO-FUZZY; ADAPTIVE NEURO-FUZZY TECHNIQUE; COMPUTING TECHNIQUES; GROUND IMPROVEMENT; MATHEMATICAL FUNCTIONS; PULVERIZED FUEL ASHES; SAND-CEMENT MIXTURE; UNCONFINED COMPRESSIVE STRENGTH;

COMPRESSIVE STRENGTH;

CEMENT;

ADAPTIVE NEURO FUZZY INFERENCE SYSTEM; ARTICLE; ARTIFICIAL NEURAL NETWORK; BUILDING MATERIAL; CHEMICAL COMPOSITION; COMPRESSIVE STRENGTH; FUZZY SYSTEM; HYBRID; LEARNING ALGORITHM; MATHEMATICAL ANALYSIS; MOISTURE; PREDICTION; PULVERIZED FUEL ASH; SAND; UNCONFINED COMPRESSIVE STRENGTH;

EID: 84927165959     PISSN: 00325910     EISSN: 1873328X     Source Type: Journal    
DOI: 10.1016/j.powtec.2015.02.045     Document Type: Article

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