标题
Concrete compressive strength using artificial neural networks
作者
关键词
-
出版物
NEURAL COMPUTING & APPLICATIONS
Volume -, Issue -, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2019-12-10
DOI
10.1007/s00521-019-04663-2
参考文献
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- (2019) Panagiotis G. Asteris et al. Applied Sciences-Basel
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- Experimental and intelligent techniques to estimate bearing capacity of cohesive soft soils reinforced with soil-cement columns
- (2018) Aliff Ridzuan Bunawan et al. MEASUREMENT
- Krill herd algorithm-based neural network in structural seismic reliability evaluation
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- (2017) Gregoria M. Kotsovou et al. ENGINEERING STRUCTURES
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- (2017) Panagiotis G. Asteris et al. NEURAL COMPUTING & APPLICATIONS
- Feed-Forward Neural Network Prediction of the Mechanical Properties of Sandcrete Materials
- (2017) Panagiotis Asteris et al. SENSORS
- Advancing concrete strength prediction using non-destructive testing: Development and verification of a generalizable model
- (2016) Kamran Amini et al. CONSTRUCTION AND BUILDING MATERIALS
- Effect of types of aggregate and sand-to-aggregate volume ratio on UPV in concrete
- (2016) Tarek Uddin Mohammed et al. CONSTRUCTION AND BUILDING MATERIALS
- Prediction of self-compacting concrete strength using artificial neural networks
- (2016) P.G. Asteris et al. European Journal of Environmental and Civil Engineering
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- Prediction of uniaxial compressive strength of rock samples using hybrid particle swarm optimization-based artificial neural networks
- (2015) Ehsan Momeni et al. MEASUREMENT
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Deep learning in neural networks: An overview
- (2015) Jürgen Schmidhuber NEURAL NETWORKS
- Chaotic Krill Herd algorithm
- (2014) Gai-Ge Wang et al. INFORMATION SCIENCES
- Prediction of pile bearing capacity using a hybrid genetic algorithm-based ANN
- (2014) E. Momeni et al. MEASUREMENT
- Hybridizing Harmony Search with Biogeography Based Optimization for Global Numerical Optimization
- (2013) Gaige Wang et al. Journal of Computational and Theoretical Nanoscience
- Incorporating mutation scheme into krill herd algorithm for global numerical optimization
- (2012) Gaige Wang et al. NEURAL COMPUTING & APPLICATIONS
- Prediction of concrete strength using ultrasonic pulse velocity and artificial neural networks
- (2008) Gregor Trtnik et al. ULTRASONICS
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