Krill herd algorithm-based neural network in structural seismic reliability evaluation
出版年份 2018 全文链接
标题
Krill herd algorithm-based neural network in structural seismic reliability evaluation
作者
关键词
-
出版物
MECHANICS OF ADVANCED MATERIALS AND STRUCTURES
Volume -, Issue -, Pages 1-8
出版商
Informa UK Limited
发表日期
2018-02-02
DOI
10.1080/15376494.2018.1430874
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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
- Prediction of the Corrosion Current Density in Reinforced Concrete Using a Self-Organizing Feature Map
- (2017) Mehdi Nikoo et al. Coatings
- Hybrid Metaheuristic-Neural Assessment of the Adhesion in Existing Cement Composites
- (2017) Łukasz Sadowski et al. Coatings
- Multiple linear regression, artificial neural network, and fuzzy logic prediction of 28 days compressive strength of concrete
- (2017) Faezehossadat Khademi et al. Frontiers of Structural and Civil Engineering
- A comprehensive review: Krill Herd algorithm (KH) and its applications
- (2016) Asaju La’aro Bolaji et al. APPLIED SOFT COMPUTING
- Prediction of self-compacting concrete strength using artificial neural networks
- (2016) P.G. Asteris et al. European Journal of Environmental and Civil Engineering
- Flood-routing modeling with neural network optimized by social-based algorithm
- (2016) Mehdi Nikoo et al. NATURAL HAZARDS
- Anisotropic masonry failure criterion using artificial neural networks
- (2016) Panagiotis G. Asteris et al. NEURAL COMPUTING & APPLICATIONS
- Modeling of Compressive Strength for Self-Consolidating High-Strength Concrete Incorporating Palm Oil Fuel Ash
- (2016) Md. Safiuddin et al. Materials
- A new metaheuristic optimisation algorithm motivated by elephant herding behaviour
- (2016) Gai Ge Wang et al. International Journal of Bio-Inspired Computation
- Prediction of debonding strength for masonry elements retrofitted with FRP composites using neuro fuzzy and neural network approaches
- (2015) Iman Mansouri et al. COMPOSITES PART B-ENGINEERING
- Prediction of uniaxial compressive strength of rock samples using hybrid particle swarm optimization-based artificial neural networks
- (2015) Ehsan Momeni et al. MEASUREMENT
- Solving 0–1 knapsack problem by a novel binary monarch butterfly optimization
- (2015) Yanhong Feng et al. NEURAL COMPUTING & APPLICATIONS
- Earthworm optimization algorithm: a bio-inspired metaheuristic algorithm for global optimization problems
- (2015) Gai Ge Wang et al. International Journal of Bio-Inspired Computation
- Modeling of masonry failure surface under biaxial compressive stress using Neural Networks
- (2014) Vagelis Plevris et al. CONSTRUCTION AND BUILDING MATERIALS
- Chaotic Krill Herd algorithm
- (2014) Gai-Ge Wang et al. INFORMATION SCIENCES
- Corrosion current density prediction in reinforced concrete by imperialist competitive algorithm
- (2014) Lukasz Sadowski et al. NEURAL COMPUTING & APPLICATIONS
- A new improved krill herd algorithm for global numerical optimization
- (2014) Lihong Guo et al. NEUROCOMPUTING
- Artificial neural network weights optimization based on social-based algorithm to realize sediment over the river
- (2014) Fatemeh Ramezani et al. SOFT COMPUTING
- A chaotic particle-swarm krill herd algorithm for global numerical optimization
- (2013) Gai-Ge Wang et al. KYBERNETES
- Krill herd algorithm for optimum design of truss structures
- (2013) Amir Hossein Gandomi et al. International Journal of Bio-Inspired Computation
- New non-destructive method for linear polarisation resistance corrosion rate measurement
- (2012) Ł. SADOWSKI Archives of Civil and Mechanical Engineering
- Krill herd: A new bio-inspired optimization algorithm
- (2012) Amir Hossein Gandomi et al. Communications in Nonlinear Science and Numerical Simulation
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