Improvement of ANFIS Model for Prediction of Compressive Strength of Manufactured Sand Concrete
出版年份 2019 全文链接
标题
Improvement of ANFIS Model for Prediction of Compressive Strength of Manufactured Sand Concrete
作者
关键词
-
出版物
Applied Sciences-Basel
Volume 9, Issue 18, Pages 3841
出版商
MDPI AG
发表日期
2019-09-12
DOI
10.3390/app9183841
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- (2019) Panagiotis G. Asteris et al. NEURAL COMPUTING & APPLICATIONS
- Artificial Intelligence Approaches for Prediction of Compressive Strength of Geopolymer Concrete
- (2019) Dong Dao et al. Materials
- Novel approach for forecasting the blast-induced AOp using a hybrid fuzzy system and firefly algorithm
- (2019) Jian Zhou et al. ENGINEERING WITH COMPUTERS
- Meta optimization of an adaptive neuro-fuzzy inference system with grey wolf optimizer and biogeography-based optimization algorithms for spatial prediction of landslide susceptibility
- (2019) Abolfazl Jaafari et al. CATENA
- The physical and chemical impact of manufactured sand as a partial replacement material in Ultra-High Performance Concrete (UHPC)
- (2019) Rui Yang et al. CEMENT & CONCRETE COMPOSITES
- Bond behavior of concrete-filled steel tube columns using manufactured sand (MS-CFT)
- (2019) Minsheng Guan et al. ENGINEERING STRUCTURES
- Hybrid Artificial Intelligence Approaches for Predicting Buckling Damage of Steel Columns Under Axial Compression
- (2019) Lu Minh Le et al. Materials
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- (2019) Ly et al. Materials
- Prediction of Compressive Strength of Geopolymer Concrete Using Entirely Steel Slag Aggregates: Novel Hybrid Artificial Intelligence Approaches
- (2019) Dong Dao et al. Applied Sciences-Basel
- Assessing Dynamic Conditions of the Retaining Wall: Developing Two Hybrid Intelligent Models
- (2019) Hui Chen et al. Applied Sciences-Basel
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- (2019) Payam Sarir et al. ENGINEERING WITH COMPUTERS
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- (2019) Mayank Mishra et al. ENGINEERING WITH COMPUTERS
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- (2019) Zohreh Sheikh Khozani et al. JOURNAL OF HYDROINFORMATICS
- Quantification of Uncertainties on the Critical Buckling Load of Columns under Axial Compression with Uncertain Random Materials
- (2019) Hai-Bang Ly et al. Materials
- Development of a Novel Hybrid Intelligence Approach for Landslide Spatial Prediction
- (2019) Nguyen et al. Applied Sciences-Basel
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- (2019) Liborio Cavaleri et al. Applied Sciences-Basel
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- (2019) Mahmoud Bayat et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Seismic behaviour of innovative composite walls with high-strength manufactured sand concrete
- (2019) Minsheng Guan et al. ENGINEERING STRUCTURES
- Fine-tuning of neural computing using whale optimization algorithm for predicting compressive strength of concrete
- (2019) Dieu Tien Bui et al. ENGINEERING WITH COMPUTERS
- Optimization of an adaptive neuro-fuzzy inference system for groundwater potential mapping
- (2019) Seyed Vahid Razavi Termeh et al. HYDROGEOLOGY JOURNAL
- Development of artificial intelligence models for the prediction of Compression Coefficient of soil: An application of Monte Carlo sensitivity analysis
- (2019) Binh Thai Pham et al. SCIENCE OF THE TOTAL ENVIRONMENT
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- Hybrid computational intelligence models for groundwater potential mapping
- (2019) Binh Thai Pham et al. CATENA
- Adaptive network based fuzzy inference system (ANFIS) training approaches: a comprehensive survey
- (2018) Dervis Karaboga et al. ARTIFICIAL INTELLIGENCE REVIEW
- A novel hybrid intelligent model of support vector machines and the MultiBoost ensemble for landslide susceptibility modeling
- (2018) Binh Thai Pham et al. Bulletin of Engineering Geology and the Environment
- Prediction of shear strength of soft soil using machine learning methods
- (2018) Binh Thai Pham et al. CATENA
- Influence of manufactured sand’s characteristics on its concrete performance
- (2018) Weiguo Shen et al. CONSTRUCTION AND BUILDING MATERIALS
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- (2018) Panagiotis G. Asteris et al. MECHANICS OF ADVANCED MATERIALS AND STRUCTURES
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- (2018) Ali Behnood et al. JOURNAL OF CLEANER PRODUCTION
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- (2018) Binh Thai Pham et al. CATENA
- Self-compacting concrete strength prediction using surrogate models
- (2017) Panagiotis G. Asteris et al. NEURAL COMPUTING & APPLICATIONS
- Stochastic continuum modeling of random interphases from atomistic simulations. Application to a polymer nanocomposite
- (2016) T.T. Le et al. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
- Characterization of manufactured sand: Particle shape, surface texture and behavior in concrete
- (2016) Weiguo Shen et al. CONSTRUCTION AND BUILDING MATERIALS
- Experimental study on long-term compressive strength of concrete with manufactured sand
- (2016) Xinxin Ding et al. CONSTRUCTION AND BUILDING MATERIALS
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- (2016) Panagiotis G. Asteris et al. NEURAL COMPUTING & APPLICATIONS
- A mix proportion design method of manufactured sand concrete based on minimum paste theory
- (2013) Tao Ji et al. CONSTRUCTION AND BUILDING MATERIALS
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- (2012) Sangjun Park International Journal of Concrete Structures and Materials
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- (2010) Prakash Nanthagopalan et al. CEMENT & CONCRETE COMPOSITES
- Multivariate statistical analysis of surface water quality based on correlations and variations in the data set
- (2010) R. Noori et al. DESALINATION
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- (2009) Beixing Li et al. CONSTRUCTION AND BUILDING MATERIALS
- Building strength models for high-performance concrete at different ages using genetic operation trees, nonlinear regression, and neural networks
- (2009) Chien-Hua Peng et al. ENGINEERING WITH COMPUTERS
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- (2009) Aditya Mukerji et al. JOURNAL OF HYDROLOGIC ENGINEERING
- Optimization of concrete mix proportioning using a flattened simplex–centroid mixture design and neural networks
- (2008) I-Cheng Yeh ENGINEERING WITH COMPUTERS
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