A novel framework for prediction of dam deformation based on extreme learning machine and Lévy flight bat algorithm

Dual Activation Function-Based Extreme Learning Machine (ELM) for Estimating Grapevine Berry Yield and Quality

(2019) Matthew Maimaitiyiming et al.   Remote Sensing

Combination of Support Vector Machine and K-Fold cross validation to predict compressive strength of concrete in marine environment

(2019) Hao Ling et al.   CONSTRUCTION AND BUILDING MATERIALS

Short-term electricity demand forecasting with MARS, SVR and ARIMA models using aggregated demand data in Queensland, Australia

(2018) Mohanad S. Al-Musaylh et al.   ADVANCED ENGINEERING INFORMATICS

An investigation of dynamic fitness measures for genetic programming

(2018) Anisa Ragalo et al.   EXPERT SYSTEMS WITH APPLICATIONS

Evolving dynamic fitness measures for genetic programming

(2018) Anisa Ragalo et al.   EXPERT SYSTEMS WITH APPLICATIONS

Wavelet support vector machine-based prediction model of dam deformation

(2018) Huaizhi Su et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Dam Safety Evaluation Based on Multiple Linear Regression and Numerical Simulation

(2018) Yang Yu et al.   ROCK MECHANICS AND ROCK ENGINEERING

A new distributed time series evolution prediction model for dam deformation based on constituent elements

(2018) Mingchao Li et al.   ADVANCED ENGINEERING INFORMATICS

A novel deep output kernel learning method for bearing fault structural diagnosis

(2018) Wentao Mao et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Parametric methods for comparing the performance of two classification algorithms evaluated by k-fold cross validation on multiple data sets

(2017) Tzu-Tsung Wong   PATTERN RECOGNITION

A self-tuning system for dam behavior modeling based on evolving artificial neural networks

(2016) B. Stojanovic et al.   ADVANCES IN ENGINEERING SOFTWARE

Monitoring dam structural health from space: Insights from novel InSAR techniques and multi-parametric modeling applied to the Pertusillo dam Basilicata, Italy

(2016) Pietro Milillo et al.   International Journal of Applied Earth Observation and Geoinformation

A novel hybrid artificial intelligent approach based on neural fuzzy inference model and particle swarm optimization for horizontal displacement modeling of hydropower dam

(2016) Kien-Trinh Thi Bui et al.   NEURAL COMPUTING & APPLICATIONS

Application of wavelet-artificial intelligence hybrid models for water quality prediction: a case study in Aji-Chay River, Iran

(2016) Rahim Barzegar et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Nonlinear regression in environmental sciences using extreme learning machines: A comparative evaluation

(2015) Aranildo R. Lima et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Load frequency control using Bat inspired algorithm based dual mode gain scheduling of PI controllers for interconnected power system

(2015) M.R. Sathya et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Trends in extreme learning machines: A review

(2015) Gao Huang et al.   NEURAL NETWORKS

Modeling and optimization of biodiesel engine performance using kernel-based extreme learning machine and cuckoo search

(2015) Pak Kin Wong et al.   RENEWABLE ENERGY

An empirical comparison of machine learning techniques for dam behaviour modelling

(2015) F. Salazar et al.   STRUCTURAL SAFETY

An Insight into Extreme Learning Machines: Random Neurons, Random Features and Kernels

(2014) Guang-Bin Huang   Cognitive Computation

Bat algorithm: literature review and applications

(2013) Xin She Yang et al.   International Journal of Bio-Inspired Computation

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

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

Singular value diagnosis in dam safety monitoring effect values

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