Modeling of compressive strength of Metakaolin based geopolymers by the use of artificial neural network

International Journal of Engineering, Transactions A: Basics

Volumn 23, Issue 2, 2010, Pages 145-152

  Kamalloo, Amir ^a   Ganjkhanlou, Yadolah ^a   Aboutalebi, Seyed Hamed ^a   Nouranian, Hossein ^a  

^a MATERIALS AND ENERGY RESEARCH CENTER   (Iran)

Author keywords

Artificial neural network; Compressive strength; Geopolymer; Metakaolin; Overfitting

Indexed keywords

ALGORITHMS; COMPRESSIVE STRENGTH; GEOPOLYMERS; INORGANIC POLYMERS; NETWORK LAYERS; SILICON COMPOUNDS; SODIUM;

ARTIFICIAL NEURAL NETWORK; BAYESIAN REGULARIZATION; EARLY STOPPING; GEOPOLYMER; GEOPOLYMERIZATION; METAKAOLINS; MOLAR RATIO; NUMBER OF DATUM; OPTIMIZED CONDITIONS; OVER FITTING PROBLEM; OVERFITTING; THREE-LAYER; TRAINING ALGORITHMS;

NEURAL NETWORKS;

EID: 84855908608     PISSN: 17281431     EISSN: 17359244     Source Type: Journal    
DOI: None     Document Type: Article

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