A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Supervised Deep Restricted Boltzmann Machine for Estimation of Concrete
Costly and time-consuming destructive methods are usually used to determine the properties of alternative concrete mixtures. To reduce cost and time, statistical and neural network models have been proposed to estimate concrete properties on the basis of input parameters. In this paper, a novel deep restricted Boltzmann machine is presented for estimating concrete properties based on mixture proportions. The effectiveness of the model is compared with two other widely used neural network/machine learning models: backpropagation neural network and support vector machine. The model is tested using 103 concrete test data from the machine learning repository of the University of California, Irvine. It is shown that the proposed model provides more accurate results and is computationally more efficient than the other two models. An accuracy of 98.0% is achieved for the example presented.
Supervised Deep Restricted Boltzmann Machine for Estimation of Concrete
Costly and time-consuming destructive methods are usually used to determine the properties of alternative concrete mixtures. To reduce cost and time, statistical and neural network models have been proposed to estimate concrete properties on the basis of input parameters. In this paper, a novel deep restricted Boltzmann machine is presented for estimating concrete properties based on mixture proportions. The effectiveness of the model is compared with two other widely used neural network/machine learning models: backpropagation neural network and support vector machine. The model is tested using 103 concrete test data from the machine learning repository of the University of California, Irvine. It is shown that the proposed model provides more accurate results and is computationally more efficient than the other two models. An accuracy of 98.0% is achieved for the example presented.
Supervised Deep Restricted Boltzmann Machine for Estimation of Concrete
Mohammad Hossein Rafiei (author) / Waleed H Khushefati / Ramazan Demirboga / Hojjat Adeli
ACI materials journal ; 114
2017
Article (Journal)
English
Supervised Deep Restricted Boltzmann Machine for Estimation of Concrete
| British Library Online Contents | 2017
A New Deep Learning Restricted Boltzmann Machine for Energy Consumption Forecasting
| DOAJ | 2022
Reinforced Concrete Buildings with Restricted Ductility
| Wiley | 1992