Hybrid Metaheuristic-Neural Assessment of the Adhesion in Existing Cement Composites
Published 2017 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Hybrid Metaheuristic-Neural Assessment of the Adhesion in Existing Cement Composites
Authors
Keywords
-
Journal
Coatings
Volume 7, Issue 4, Pages 49
Publisher
MDPI AG
Online
2017-04-04
DOI
10.3390/coatings7040049
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Neural Network, Machine Learning, and Evolutionary Approaches for Concrete Material Characterization
- (2016) Mohammad H. Rafiei et al. ACI MATERIALS JOURNAL
- Failure mechanisms of repair mortar stone interface assessed by pull-off strength tests
- (2016) Balázs Szemerey-Kiss et al. Bulletin of Engineering Geology and the Environment
- Non-destructive neural identification of the bond between concrete layers in existing elements
- (2016) Łukasz Sadowski et al. CONSTRUCTION AND BUILDING MATERIALS
- Fracture evaluation of multi-layered precast reinforced geopolymer-concrete composite beams by incorporating acoustic emission into mechanical analysis
- (2016) Navid Ranjbar et al. CONSTRUCTION AND BUILDING MATERIALS
- Experimental study on shear behavior of the interface between old and new deck slabs
- (2016) Junichiro Niwa et al. ENGINEERING STRUCTURES
- FUZZY CLUSTERING CHAOTIC-BASED DIFFERENTIAL EVOLUTION FOR RESOURCE LEVELING IN CONSTRUCTION PROJECTS
- (2016) Min-Yuan CHENG et al. Journal of Civil Engineering and Management
- Predicting Colonization Growth of Algae on Mortar Surface with Artificial Neural Network
- (2016) Thu-Hien Tran et al. JOURNAL OF COMPUTING IN CIVIL ENGINEERING
- An automated approach for optimal design of prestressed concrete slabs using PSOHS
- (2016) A. S. Talaei et al. KSCE Journal of Civil Engineering
- Concrete Condition Assessment Using Impact-Echo Method and Extreme Learning Machines
- (2016) Jing-Kui Zhang et al. SENSORS
- Application of Probabilistic Particle Swarm in Optimal Design of Large-Span Prestressed Concrete Slabs
- (2016) A. Kaveh et al. Iranian Journal of Science and Technology-Transactions of Civil Engineering
- Simulation of Reservoir Sediment Flushing of the Three Gorges Reservoir Using an Artificial Neural Network
- (2016) Xueying Li et al. Applied Sciences-Basel
- ANN modeling of pull-off adhesion of concrete layers
- (2015) Łukasz Sadowski et al. ADVANCES IN ENGINEERING SOFTWARE
- Optimal arrangement of reinforcement in composites
- (2015) P. Fedeliński et al. Archives of Civil and Mechanical Engineering
- Non-destructive identification of pull-off adhesion between concrete layers
- (2015) Łukasz Sadowski AUTOMATION IN CONSTRUCTION
- Parametric study on cement-based soft-hard-soft (SHS) multi-layer composite pavement against blast load
- (2015) Jun Wu et al. CONSTRUCTION AND BUILDING MATERIALS
- Principal Component Analysis combined with a Self Organization Feature Map to determine the pull-off adhesion between concrete layers
- (2015) Łukasz Sadowski et al. CONSTRUCTION AND BUILDING MATERIALS
- A combination of the ICA-ANN model to predict air-overpressure resulting from blasting
- (2015) Danial Jahed Armaghani et al. ENGINEERING WITH COMPUTERS
- Optimizing the De-Noise Neural Network Model for GPS Time-Series Monitoring of Structures
- (2015) Mosbeh Kaloop et al. SENSORS
- Optimum Operation of Reservoir Using Two Evolutionary Algorithms: Imperialist Competitive Algorithm (ICA) and Cuckoo Optimization Algorithm (COA)
- (2015) Seyed-Mohammad Hosseini-Moghari et al. WATER RESOURCES MANAGEMENT
- NEW NONDESTRUCTIVE WAY OF IDENTIFYING THE VALUES OF PULL-OFF ADHESION BETWEEN CONCRETE LAYERS IN FLOORS
- (2014) Łukasz Sadowski et al. Journal of Civil Engineering and Management
- Corrosion current density prediction in reinforced concrete by imperialist competitive algorithm
- (2014) Lukasz Sadowski et al. NEURAL COMPUTING & APPLICATIONS
- A new hybrid meta-heuristic for structural design: ranked particles optimization
- (2014) A. Kaveh et al. STRUCTURAL ENGINEERING AND MECHANICS
- NON-DESTRUCTIVE EVALUATION OF THE PULL-OFF ADHESION OF CONCRETE FLOOR LAYERS USING RBF NEURAL NETWORK
- (2013) Łukasz Sadowski Journal of Civil Engineering and Management
- A chaotic imperialist competitive algorithm for optimum cost design of cantilever retaining walls
- (2013) M. Pourbaba et al. KSCE Journal of Civil Engineering
- A hybridized artificial neural network and imperialist competitive algorithm optimization approach for prediction of soil compaction in soil bin facility
- (2013) Hamid Taghavifar et al. MEASUREMENT
- Evolving artificial neural network and imperialist competitive algorithm for prediction oil flow rate of the reservoir
- (2012) Mohammad Ali Ahmadi et al. APPLIED SOFT COMPUTING
- SUPERIORITY OF ARTIFICIAL NEURAL NETWORKS OVER STATISTICAL METHODS IN PREDICTION OF THE OPTIMAL LENGTH OF ROCK BOLTS
- (2012) Hadi Hasanzadehshooiili et al. Journal of Civil Engineering and Management
- Nondestructive identification of delaminations in concrete floor toppings with acoustic methods
- (2011) Jerzy Hola et al. AUTOMATION IN CONSTRUCTION
- Imperialist competitive algorithm combined with chaos for global optimization
- (2011) S. Talatahari et al. Communications in Nonlinear Science and Numerical Simulation
- Optimum design of skeletal structures using imperialist competitive algorithm
- (2010) A. Kaveh et al. COMPUTERS & STRUCTURES
- Application of an imperialist competitive algorithm to the design of a linear induction motor
- (2010) Caro Lucas et al. ENERGY CONVERSION AND MANAGEMENT
- Imperialist competitive algorithm for minimum bit error rate beamforming
- (2009) Arash Khabbazi et al. International Journal of Bio-Inspired Computation
- Ten Lectures on Impact-Echo
- (2008) Frank Schubert et al. JOURNAL OF NONDESTRUCTIVE EVALUATION
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now