A radial basis function neural network based model to predict properties of high-temperature-binder additive modified carbon materials

Xinxing Tan Cailiao/ New Carbon Materials

Volumn 22, Issue 4, 2007, Pages 349-354

  Yang, Zhen ^a   Gu, Xing Sheng ^a   Liang, Xiao Yi ^a   Zhang, Rui ^a   Ling, Li Cheng ^a  

^a EAST CHINA UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Carbon material; High temperature binder; RBF neural network; Shear strength

Indexed keywords

BINDERS; CARBON; FUNCTIONS; RADIAL BASIS FUNCTION NETWORKS;

BACK PROPAGATION; BACK-PROPAGATION NEURAL NETWORKS; CARBON MATERIAL; HIGH TEMPERATURE BINDER; NETWORK-BASED MODELING; PREDICTIVE MODELS; PROPAGATION MODELS; PROPERTY; RADIAL BASIS FUNCTION NEURAL NETWORKS (RBF); SHEARS STRENGTH;

BACKPROPAGATION;

EID: 53649106684     PISSN: 20971605     EISSN: 18725805     Source Type: Journal    
DOI: None     Document Type: Article

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