A Novel Online Sequential Extreme Learning Machine for Gas Utilization Ratio Prediction in Blast Furnaces

Sensors - Switzerland
doi 10.3390/s17081847
Full Text
Abstract

Available in full text

Date
Authors
Publisher

MDPI AG

Related search

Online Sequential Prediction for Nonstationary Time Series With New Weight-Setting Strategy Using Extreme Learning Machine

Mathematical Problems in Engineering
MathematicsEngineering
2015English

Wavelet Network: Online Sequential Extreme Learning Machine for Nonlinear Dynamic Systems Identification

Advances in Artificial Intelligence
2015English

Automated Flare Prediction Using Extreme Learning Machine

Mathematical Problems in Engineering
MathematicsEngineering
2013English

Model Predictive Engine Air-Ratio Control Using Online Sequential Relevance Vector Machine

Journal of Control Science and Engineering
Electronic EngineeringSimulationComputer Science ApplicationsElectricalModeling
2012English

Novel Machine Learning Methods for MHC Class I Binding Prediction

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2010English

A Novel Approach for Lie Detection Based on F-Score and Extreme Learning Machine

PLoS ONE
Multidisciplinary
2013English

Ship Roll Motion Prediction Based on ℓ1 Regularized Extreme Learning Machine

PLoS ONE
Multidisciplinary
2018English

Graph Embedded Extreme Learning Machine

IEEE Transactions on Cybernetics
ControlSystems EngineeringInformation SystemsHuman-Computer InteractionElectronic EngineeringComputer Science ApplicationsElectricalSoftware
2016English

Hybridized Extreme Learning Machine Model With Salp Swarm Algorithm: A Novel Predictive Model for Hydrological Application

Complexity
MultidisciplinaryComputer Science
2020English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy