Volatility forecasting of crude oil futures based on a genetic algorithm regularization online extreme learning machine with a forgetting factor: The role of news during the COVID-19 pandemic

Genetic algorithm-optimized multi-channel convolutional neural network for stock market prediction

(2019) Hyejung Chung et al.   NEURAL COMPUTING & APPLICATIONS

Hybrid genetic algorithm method for efficient and robust evaluation of remaining useful life of supercapacitors

(2019) Yanting Zhou et al.   APPLIED ENERGY

Forecasting realized volatility of agricultural commodity futures with infinite Hidden Markov HAR models

(2019) Jiawen Luo et al.   INTERNATIONAL JOURNAL OF FORECASTING

Online Sequential Extreme Learning Machine with Generalized Regularization and Adaptive Forgetting Factor for Time-Varying System Prediction

(2018) Wei Guo et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

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

(2018) Bo Dai et al.   ADVANCES IN STRUCTURAL ENGINEERING

An adaptive ensemble of on-line Extreme Learning Machines with variable forgetting factor for dynamic system prediction

(2016) Symone G. Soares et al.   NEUROCOMPUTING

Online EM with Weight-Based Forgetting

(2015) Enric Celaya et al.   NEURAL COMPUTATION

Trends in extreme learning machines: A review

(2015) Gao Huang et al.   NEURAL NETWORKS

Exploring the WTI crude oil price bubble process using the Markov regime switching model

(2015) Yue-Jun Zhang et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

A new robust training algorithm for a class of single-hidden layer feedforward neural networks

(2011) Zhihong Man et al.   NEUROCOMPUTING

Regularized online sequential learning algorithm for single-hidden layer feedforward neural networks

(2011) Hieu Trung Huynh et al.   PATTERN RECOGNITION LETTERS

A Robust Variable Forgetting Factor Recursive Least-Squares Algorithm for System Identification

(2008) C. Paleologu et al.   IEEE SIGNAL PROCESSING LETTERS