Cargando…

Estimating the Concrete Compressive Strength Using Hard Clustering and Fuzzy Clustering Based Regression Techniques

Understanding of the compressive strength of concrete is important for activities like construction arrangement, prestressing operations, and proportioning new mixtures and for the quality assurance. Regression techniques are most widely used for prediction tasks where relationship between the indep...

Descripción completa

Detalles Bibliográficos
Autores principales:	Nagwani, Naresh Kumar, Deo, Shirish V.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi Publishing Corporation 2014
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4212204/ https://www.ncbi.nlm.nih.gov/pubmed/25374939 http://dx.doi.org/10.1155/2014/381549

Ejemplares similares

Estimation of concrete materials uniaxial compressive strength using soft computing techniques
por: Raju, Matiur Rahman, et al.
Publicado: (2023)

Clustering by Fuzzy Neural Gas and Evaluation of Fuzzy Clusters
por: Geweniger, Tina, et al.
Publicado: (2013)

Performance Evaluation of Bio Concrete by Cluster and Regression Analysis for Environment Protection
por: Shukla, Ashish, et al.
Publicado: (2022)

Fuzzy technique for microcalcifications clustering in digital mammograms
por: Vivona, Letizia, et al.
Publicado: (2014)

Estimating Compressive Strength of Concrete Using Neural Electromagnetic Field Optimization
por: Akbarzadeh, Mohammad Reza, et al.
Publicado: (2023)

Fuzzy clustering for the within-season estimation of cotton phenology
por: Sitokonstantinou, Vasileios, et al.
Publicado: (2023)

Assessment of Soft Computing Techniques for the Prediction of Compressive Strength of Bacterial Concrete
por: Almohammed, Fadi, et al.
Publicado: (2022)

Effect of Steel Plates on Estimation of the Compressive Strength of Concrete via Ultrasonic Testing
por: Rhim, Hong Chul, et al.
Publicado: (2020)

Prediction of Ecofriendly Concrete Compressive Strength Using Gradient Boosting Regression Tree Combined with GridSearchCV Hyperparameter-Optimization Techniques
por: Alhakeem, Zaineb M., et al.
Publicado: (2022)

Fuzzy clustering and distributed model for streamflow estimation in ungauged watersheds
por: Mosavi, Amirhosein, et al.
Publicado: (2021)

Influence of Inertia on the Dynamic Compressive Strength of Concrete
por: Qin, Zhangchen, et al.
Publicado: (2022)

Intuitionistic fuzzy aggregation and clustering
por: Xu, Zeshui
Publicado: (2012)

Estimation of Clustering Parameters Using Gaussian Process Regression
por: Rigby, Paul, et al.
Publicado: (2014)

Compressive Strength of Steel Fiber-Reinforced Concrete Employing Supervised Machine Learning Techniques
por: Li, Yongjian, et al.
Publicado: (2022)

Fuzzy-clustering and fuzzy network based interpretable fuzzy model for prediction
por: Wang, Xiaowei, et al.
Publicado: (2022)

Evaluation of Teachers' Educational Technology Ability Based on Fuzzy Clustering Generalized Regression Neural Network
por: Zhao, Jie, et al.
Publicado: (2021)

Algorithms for fuzzy clustering: methods in c-means clustering with applications
por: Miyamoto, Sadaaki, et al.
Publicado: (2008)

Compressive Strength Evaluation of Ultra-High-Strength Concrete by Machine Learning
por: Shen, Zhongjie, et al.
Publicado: (2022)

Comparison of Prediction Models Based on Machine Learning for the Compressive Strength Estimation of Recycled Aggregate Concrete
por: Khan, Kaffayatullah, et al.
Publicado: (2022)

Using Machine Learning Algorithms to Estimate the Compressive Property of High Strength Fiber Reinforced Concrete
por: Dai, Li, et al.
Publicado: (2022)

Analysis of the Optimum Usage of Slag for the Compressive Strength of Concrete
por: Lee, Han-Seung, et al.
Publicado: (2015)

ANN-Based Fatigue Strength of Concrete under Compression
por: Abambres, Miguel, et al.
Publicado: (2019)

Relation between Density and Compressive Strength of Foamed Concrete
por: Othman, Rokiah, et al.
Publicado: (2021)

Prediction of Concrete Compressive Strength in Saline Soil Environments
por: Yang, Deqiang, et al.
Publicado: (2022)

Computation of High-Performance Concrete Compressive Strength Using Standalone and Ensembled Machine Learning Techniques
por: Xu, Yue, et al.
Publicado: (2021)

Application of Machine Learning Techniques for Predicting Compressive, Splitting Tensile, and Flexural Strengths of Concrete with Metakaolin
por: Shah, Hammad Ahmed, et al.
Publicado: (2022)

Retracted: Evaluation of Teachers' Educational Technology Ability Based on Fuzzy Clustering Generalized Regression Neural Network
por: Intelligence and Neuroscience, Computational
Publicado: (2023)

The Fire Resistance Performance of Recycled Aggregate Concrete Columns with Different Concrete Compressive Strengths
por: Dong, Hongying, et al.
Publicado: (2014)

Estimating Compressive Strength of Concrete Containing Untreated Coal Waste Aggregates Using Ultrasonic Pulse Velocity
por: Karimaei, Mahmood, et al.
Publicado: (2021)

Compressive Strength Estimation of Fly Ash/Slag Based Green Concrete by Deploying Artificial Intelligence Models
por: Khan, Kaffayatullah, et al.
Publicado: (2022)

Compressive Strength Estimation of Steel-Fiber-Reinforced Concrete and Raw Material Interactions Using Advanced Algorithms
por: Khan, Kaffayatullah, et al.
Publicado: (2022)

Nonlinear Mechanical Effect of Free Water on the Dynamic Compressive Strength and Fracture of High-Strength Concrete
por: Shilko, Evgeny V., et al.
Publicado: (2021)

Development of Prediction Model to Predict the Compressive Strength of Eco-Friendly Concrete Using Multivariate Polynomial Regression Combined with Stepwise Method
por: Imran, Hamza, et al.
Publicado: (2022)

Dataset of long-term compressive strength of concrete with manufactured sand
por: Ding, Xinxin, et al.
Publicado: (2016)

Evaluation of Early-Age Concrete Compressive Strength with Ultrasonic Sensors
por: Yoon, Hyejin, et al.
Publicado: (2017)

Dataset on predictive compressive strength model for self-compacting concrete
por: Ofuyatan, O.M., et al.
Publicado: (2018)

Data on mixing and curing methods effects on the compressive strength of concrete
por: Omuh, Ignatius O., et al.
Publicado: (2018)

Effects of Environmental Factors on Concrete Carbonation Depth and Compressive Strength
por: Chen, Ying, et al.
Publicado: (2018)

Variation in Compressive Strength of Concrete aross Thickness of Placed Layer
por: Michałek, Jarosław
Publicado: (2019)

Artificial Intelligence Approaches for Prediction of Compressive Strength of Geopolymer Concrete
por: Dao, Dong Van, et al.
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_ahk68b8jk1jjrhdqiaud9gp1os