Extreme learning machine ensemble model for time series forecasting boosted by PSO: Application to an electric consumption problem

A review of the artificial intelligence methods in groundwater level modeling

(2019) Taher Rajaee et al.   JOURNAL OF HYDROLOGY

Evaluation of statistical and machine learning models for time series prediction: Identifying the state-of-the-art and the best conditions for the use of each model

(2019) Antonio Rafael Sabino Parmezan et al.   INFORMATION SCIENCES

Subspace Clustering Based Class Level Software Fault Prediction Using Symbiotic Particle Swarm Optimization and Ensemble Extreme Learning Machine

(2019) Sumangalapatil et al.   Journal of Computational and Theoretical Nanoscience

A hybrid intelligent approach for constructing landslide displacement prediction intervals

(2019) Yankun Wang et al.   APPLIED SOFT COMPUTING

Short-term forecasting of bark beetle outbreaks on two economically important conifer tree species

(2019) Maarten de Groot et al.   FOREST ECOLOGY AND MANAGEMENT

Solar photovoltaic generation forecasting methods: A review

(2018) Sobrina Sobri et al.   ENERGY CONVERSION AND MANAGEMENT

Control Óptimo Aplicado a Campos de Colectores Solares Distribuidos

(2018) Francisco R. Rubio et al.   Revista Iberoamericana de Automatica e Informatica Industrial

Ensembles for feature selection: A review and future trends

(2018) Verónica Bolón-Canedo et al.   Information Fusion

Particle Swarm Optimization for Single Objective Continuous Space Problems: A Review

(2017) Mohammad Reza Bonyadi et al.   EVOLUTIONARY COMPUTATION

Point and interval forecasting of real-time and day-ahead electricity prices by a novel hybrid approach

(2017) Reza Tahmasebifar et al.   IET Generation Transmission & Distribution

Analysis and validation of 24 hours ahead neural network forecasting of photovoltaic output power

(2017) S. Leva et al.   MATHEMATICS AND COMPUTERS IN SIMULATION

An ensemble of dynamic neural network identifiers for fault detection and isolation of gas turbine engines

(2016) M. Amozegar et al.   NEURAL NETWORKS

Particle Swarm Optimization Based Selective Ensemble of Online Sequential Extreme Learning Machine

(2015) Yang Liu et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

Online sequential extreme learning machine with kernels for nonstationary time series prediction

(2014) Xinying Wang et al.   NEUROCOMPUTING

Least squares support vector machines ensemble models for credit scoring

(2009) Ligang Zhou et al.   EXPERT SYSTEMS WITH APPLICATIONS