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

The chaotic characteristic of the carbon-monoxide utilization ratio in the blast furnace

(2017) Dengfeng Xiao et al.   ISA TRANSACTIONS

Class-specific cost regulation extreme learning machine for imbalanced classification

(2017) Wendong Xiao et al.   NEUROCOMPUTING

Feed-Forward Neural Network Prediction of the Mechanical Properties of Sandcrete Materials

(2017) Panagiotis Asteris et al.   SENSORS

Device-Free Localization via an Extreme Learning Machine with Parameterized Geometrical Feature Extraction

(2017) Jie Zhang et al.   SENSORS

A Novel Extreme Learning Machine Classification Model for e-Nose Application Based on the Multiple Kernel Approach

(2017) Yulin Jian et al.   SENSORS

Recognition of Blast Furnace Gas Flow Center Distribution Based on Infrared Image Processing

(2016) Lin SHI et al.   JOURNAL OF IRON AND STEEL RESEARCH INTERNATIONAL

Online sequential reduced kernel extreme learning machine

(2016) Wan-Yu Deng et al.   NEUROCOMPUTING

An efficient parallel method for batched OS-ELM training using MapReduce

(2016) Shan Huang et al.   Memetic Computing

Adaptive Least Squares Support Vector Machine Predictor for Blast Furnace Ironmaking Process

(2015) Ling Jian et al.   ISIJ INTERNATIONAL

On-line sequential extreme learning machine based on recursive partial least squares

(2015) Tiago Matias et al.   JOURNAL OF PROCESS CONTROL

Landmark recognition with sparse representation classification and extreme learning machine

(2015) Jiuwen Cao et al.   JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS

A Fast and Precise Indoor Localization Algorithm Based on an Online Sequential Extreme Learning Machine

(2015) Han Zou et al.   SENSORS

Online Sequential Extreme Learning Machine With Kernels

(2015) Simone Scardapane et al.   IEEE Transactions on Neural Networks and Learning Systems

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

(2014) Xinying Wang et al.   NEUROCOMPUTING

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

(2014) Guang-Bin Huang   Cognitive Computation

Hybrid Forecasting Model for Very-Short Term Wind Power Forecasting Based on Grey Relational Analysis and Wind Speed Distribution Features

(2014) Jie Shi et al.   IEEE Transactions on Smart Grid

An experimental study on stability and generalization of extreme learning machines

(2014) Aimin Fu et al.   International Journal of Machine Learning and Cybernetics

Rule Extraction From Fuzzy-Based Blast Furnace SVM Multiclassifier for Decision-Making

(2013) Chuanhou Gao et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

Probabilistic Forecasting of Wind Power Generation Using Extreme Learning Machine

(2013) Can Wan et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

TOSELM: Timeliness Online Sequential Extreme Learning Machine

(2013) Yang Gu et al.   NEUROCOMPUTING

Optimization of Blast Furnace Productivity Coupled with CO2Emissions Reduction

(2013) Pasquale Cavaliere et al.   STEEL RESEARCH INTERNATIONAL

Multi-Objective Genetic Algorithms and Genetic Programming Models for Minimizing Input Carbon Rates in a Blast Furnace Compared with a Conventional Analytic Approach

(2013) Rajesh Jha et al.   STEEL RESEARCH INTERNATIONAL

Constructing Multiple Kernel Learning Framework for Blast Furnace Automation

(2012) Ling Jian et al.   IEEE Transactions on Automation Science and Engineering

Binary Coding SVMs for the Multiclass Problem of Blast Furnace System

(2012) Ling Jian et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Low complexity adaptive forgetting factor for online sequential extreme learning machine (OS-ELM) for application to nonstationary system estimations

(2012) Jun-seok Lim et al.   NEURAL COMPUTING & APPLICATIONS

Online sequential extreme learning machine with forgetting mechanism

(2012) Jianwei Zhao et al.   NEUROCOMPUTING

Partitioned online sequential extreme learning machine for large ordered system modeling

(2012) JunSeok Lim   NEUROCOMPUTING

Nonlinear optimization of steel production using traditional and novel blast furnace operation strategies

(2011) Hannu Helle et al.   CHEMICAL ENGINEERING SCIENCE

Extreme Learning Machine for Regression and Multiclass Classification

(2011) Guang-Bin Huang et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS

Data-driven predictive control for blast furnace ironmaking process

(2010) Jiu-sun Zeng et al.   COMPUTERS & CHEMICAL ENGINEERING

A Two-Stage Online Prediction Method for a Blast Furnace Gas System and Its Application

(2010) Jun Zhao et al.   IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY

Neural Network Learning Without Backpropagation

(2010) B M Wilamowski et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

Multi-objective Optimization of Ironmaking in the Blast Furnace with Top Gas Recycling

(2010) Hannu Helle et al.   ISIJ INTERNATIONAL

Numerical Modeling of Reaction and Flow Characteristics in a Blast Furnace with Consideration of Layered Burden

(2010) Kwangheok Yang et al.   ISIJ INTERNATIONAL

A Sliding-window Smooth Support Vector Regression Model for Nonlinear Blast Furnace System

(2010) Ling Jian et al.   STEEL RESEARCH INTERNATIONAL

Ensemble of online sequential extreme learning machine

(2009) Yuan Lan et al.   NEUROCOMPUTING