Predicting the shrinkage of thermal insulation mortar by probabilistic neural networks |
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| Authors: | Yi-qun Deng Pei-ming Wang |
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| Institution: | 1. Key Laboratory of Advanced Civil Engineering Materials, Ministry of Education, Tongji University, Shanghai, 200092, China
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| Abstract: | This study explored the potential of using probabilistic neural networks (PNN) to predict shrinkage of thermal insulation mortar.Probabilistic results were obtained from the PNN model with the aid of Parzen non-parametric estimator of the probability density functions (PDF).Five variables,water-cementitious materials ratio,content of cement,fly ash,aggregate and plasticizer,were employed for input variables,while a category of 56-d shrinkage of mortar was used for the output variable.A total of 192 groups o... |
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| Keywords: | Mortar Shrinkage Probabilistic neural networks (PNN) Thermal insulation |
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