An improved application technique of the adaptive probabilistic neural network for predicting concrete strength

Computational Materials Science

Volumn 44, Issue 3, 2009, Pages 988-998

  Lee, Jong Jae ^a   Kim, Dookie ^b   Chang, Seong Kyu ^b   Nocete, Charito Fe M ^b  

^a Sejong University   (South Korea)

^b Kunsan National University   (South Korea)

Author keywords

Adaptive probabilistic neural network; Concrete compressive strength; Dynamic decay adjustment algorithm; Probabilistic neural network; Strength prediction

Indexed keywords

ADAPTIVE ALGORITHMS; COMPRESSION TESTING; COMPRESSIVE STRENGTH; CONCRETE CONSTRUCTION; CONCRETES; FORECASTING; IMAGE CLASSIFICATION; PROBABILITY; STEEL STRUCTURES; STRENGTH OF MATERIALS; TWO PHASE FLOW; VEGETATION; WATER PIPELINES;

ADAPTIVE PROBABILISTIC NEURAL NETWORK; CONCRETE COMPRESSIVE STRENGTH; DYNAMIC DECAY ADJUSTMENT ALGORITHM; PROBABILISTIC NEURAL NETWORK; STRENGTH PREDICTION;

NEURAL NETWORKS;

EID: 57249115915     PISSN: 09270256     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.commatsci.2008.07.012     Document Type: Article

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