Prediction of Compressive Strength of Geopolymer Concrete Using Entirely Steel Slag Aggregates: Novel Hybrid Artificial Intelligence Approaches
出版年份 2019 全文链接
标题
Prediction of Compressive Strength of Geopolymer Concrete Using Entirely Steel Slag Aggregates: Novel Hybrid Artificial Intelligence Approaches
作者
关键词
-
出版物
Applied Sciences-Basel
Volume 9, Issue 6, Pages 1113
出版商
MDPI AG
发表日期
2019-03-19
DOI
10.3390/app9061113
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Adaptive network based fuzzy inference system (ANFIS) training approaches: a comprehensive survey
- (2018) Dervis Karaboga et al. ARTIFICIAL INTELLIGENCE REVIEW
- Genetic algorithm based model for optimizing bank lending decisions
- (2017) Noura Metawa et al. EXPERT SYSTEMS WITH APPLICATIONS
- Fracture Properties of Geopolymer Concrete Based on Metakaolin, Fly Ash and Rice Rusk Ash
- (2017) Eliane Fernandes Côrtes Pires et al. Materials Research-Ibero-american Journal of Materials
- Forecasting energy consumption using ensemble ARIMA–ANFIS hybrid algorithm
- (2016) Sasan Barak et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Hybrid artificial intelligence approach based on neural fuzzy inference model and metaheuristic optimization for flood susceptibilitgy modeling in a high-frequency tropical cyclone area using GIS
- (2016) Dieu Tien Bui et al. JOURNAL OF HYDROLOGY
- Hybrid ANFIS–PSO approach for predicting optimum parameters of a protective spur dike
- (2015) Hossein Basser et al. APPLIED SOFT COMPUTING
- Modeling slump of ready mix concrete using genetic algorithms assisted training of Artificial Neural Networks
- (2015) Vinay Chandwani et al. EXPERT SYSTEMS WITH APPLICATIONS
- The knowledge modeling system of ready-mixed concrete enterprise and artificial intelligence with ANN-GA for manufacturing production
- (2014) Jia-Bei Yu et al. JOURNAL OF INTELLIGENT MANUFACTURING
- Effect of Utilization of Discrete Wavelet Components on Flood Forecasting Performance of Wavelet Based ANFIS Models
- (2014) Vinit Sehgal et al. WATER RESOURCES MANAGEMENT
- Machine learning of molecular electronic properties in chemical compound space
- (2013) Grégoire Montavon et al. NEW JOURNAL OF PHYSICS
- Artificial neural network for predicting drying shrinkage of concrete
- (2012) Lyes Bal et al. CONSTRUCTION AND BUILDING MATERIALS
- Preparation and thermal properties of fire resistant metakaolin-based geopolymer-type coatings
- (2010) Jadambaa Temuujin et al. JOURNAL OF NON-CRYSTALLINE SOLIDS
- Comparison of artificial neural network and fuzzy logic models for prediction of long-term compressive strength of silica fume concrete
- (2009) Fatih Özcan et al. ADVANCES IN ENGINEERING SOFTWARE
- Alkali-aggregate behaviour of alkali-activated slag mortars: Effect of aggregate type
- (2009) F. Puertas et al. CEMENT & CONCRETE COMPOSITES
- Artificial intelligence techniques for prediction of the capacity of RC beams strengthened in shear with external FRP reinforcement
- (2009) Ricardo Perera et al. COMPOSITE STRUCTURES
- Influence of sodium carbonate addition on the thermal reactivity of tungsten mine waste mud based binders
- (2009) F. Pacheco-Torgal et al. CONSTRUCTION AND BUILDING MATERIALS
- Material and structural characterization of alkali activated low-calcium brown coal fly ash
- (2009) František Škvára et al. JOURNAL OF HAZARDOUS MATERIALS
- Predicting the compressive strength of ground granulated blast furnace slag concrete using artificial neural network
- (2008) Cahit Bilim et al. ADVANCES IN ENGINEERING SOFTWARE
- Prediction of compressive strength of SCC and HPC with high volume fly ash using ANN
- (2008) B.K. Raghu Prasad et al. CONSTRUCTION AND BUILDING MATERIALS
- Artificial Neural Network for Predicting Creep and Shrinkage of High Performance Concrete
- (2008) Jayakumar Karthikeyan et al. Journal of Advanced Concrete Technology
- Prediction of compressive strength of concrete containing fly ash using artificial neural networks and fuzzy logic
- (2007) İlker Bekir Topçu et al. COMPUTATIONAL MATERIALS SCIENCE
- Preparation of geopolymer from fluidized bed combustion bottom ash
- (2007) R. Slavik et al. JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now