Improved online sequential extreme learning machine for identifying crack behavior in concrete dam

NB-CNN: Deep Learning-Based Crack Detection Using Convolutional Neural Network and Naïve Bayes Data Fusion

(2018) Fu-Chen Chen et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Statistical model optimized random forest regression model for concrete dam deformation monitoring

(2018) Bo Dai et al.   Structural Control & Health Monitoring

Genetic algorithm for optimization of energy systems: Solution uniqueness, accuracy, Pareto convergence and dimension reduction

(2017) A. Ganjehkaviri et al.   ENERGY

Online sequential prediction of bearings imbalanced fault diagnosis by extreme learning machine

(2017) Wentao Mao et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Concrete dam deformation prediction model for health monitoring based on extreme learning machine

(2017) Fei Kang et al.   Structural Control & Health Monitoring

Interpretation of dam deformation and leakage with boosted regression trees

(2016) Fernando Salazar et al.   ENGINEERING STRUCTURES

Trends in extreme learning machines: A review

(2015) Gao Huang et al.   NEURAL NETWORKS

Online Sequential Extreme Learning Machine With Kernels

(2015) Simone Scardapane et al.   IEEE Transactions on Neural Networks and Learning Systems

Constructing statistical models for arch dam deformation

(2013) Juan Mata et al.   Structural Control & Health Monitoring

Abnormality diagnosis of cracks in the concrete dam based on dynamical structure mutation

(2011) ChongShi Gu et al.   Science China-Technological Sciences

Extreme learning machines: a survey

(2011) Guang-Bin Huang et al.   International Journal of Machine Learning and Cybernetics

Machine learning algorithms for damage detection under operational and environmental variability

(2010) Eloi Figueiredo et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Ensemble of online sequential extreme learning machine

(2009) Yuan Lan et al.   NEUROCOMPUTING