Performance improvement method of support vector machine-based model monitoring dam safety

Training of support vector machine with the use of multivariate normalization

(2014) F.J. Martínez López et al.   APPLIED SOFT COMPUTING

A novel hybrid KPCA and SVM with GA model for intrusion detection

(2014) Fangjun Kuang et al.   APPLIED SOFT COMPUTING

Development of support vector regression identification model for prediction of dam structural behaviour

(2014) Vesna Ranković et al.   STRUCTURAL SAFETY

Adaptive system for dam behavior modeling based on linear regression and genetic algorithms

(2013) B. Stojanovic et al.   ADVANCES IN ENGINEERING SOFTWARE

Constructing statistical models for arch dam deformation

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

Two online dam safety monitoring models based on the process of extracting environmental effect

(2012) Lin Cheng et al.   ADVANCES IN ENGINEERING SOFTWARE

Damage detection based on improved particle swarm optimization using vibration data

(2012) Fei Kang et al.   APPLIED SOFT COMPUTING

A hybrid approach by integrating wavelet-based feature extraction with MARS and SVR for stock index forecasting

(2012) Ling-Jing Kao et al.   DECISION SUPPORT SYSTEMS

Modelling of dam behaviour based on neuro-fuzzy identification

(2012) Vesna Ranković et al.   ENGINEERING STRUCTURES

Application of an artificial immune algorithm on a statistical model of dam displacement

(2011) Guang-yong Xi et al.   COMPUTERS & MATHEMATICS WITH APPLICATIONS

Hybrid GA/SIMPLS as alternative regression model in dam deformation analysis

(2011) Chang Xu et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Interpretation of concrete dam behaviour with artificial neural network and multiple linear regression models

(2011) J. Mata   ENGINEERING STRUCTURES

Singular value diagnosis in dam safety monitoring effect values

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

Monitoring of long-term static deformation data of Fei-Tsui arch dam using artificial neural network-based approaches

(2011) Ching-Yun Kao et al.   Structural Control & Health Monitoring

A study of safety evaluation and early-warning method for dam global behavior

(2011) SU Huaizhi et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Study on an Intelligent Inference Engine in Early-Warning System of Dam Health

(2011) Huaizhi Su et al.   WATER RESOURCES MANAGEMENT

System identification of concrete gravity dams using artificial neural networks based on a hybrid finite element–boundary element approach

(2010) I. Karimi et al.   ENGINEERING STRUCTURES

Structural Health Monitoring in mainland China: Review and Future Trends

(2010) Jinping Ou et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL