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Neurocomputing, ISSN 0925-2312, 2007, Volume 70, Issue 16, pp. 3056 - 3062
Journal Article
International Journal of Machine Learning and Cybernetics, ISSN 1868-8071, 6/2011, Volume 2, Issue 2, pp. 107 - 122
Journal Article
Neurocomputing, ISSN 0925-2312, 2008, Volume 71, Issue 16, pp. 3460 - 3468
Recently an incremental algorithm referred to as incremental extreme learning machine (I-ELM) was proposed by Huang et al. [G.-B. Huang, L. Chen, C.-K. Siew,... 
Convergence rate | Random hidden nodes | Incremental extreme learning machine | Random search | NEURAL-NETWORKS | FUNCTION APPROXIMATION | FEEDFORWARD NETWORKS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Searches and seizures | Algorithms
Journal Article
Neurocomputing, ISSN 0925-2312, 04/2018, Volume 287, pp. 128 - 142
An extreme learning machine (ELM) is a popular analytic single hidden layer feedforward neural network because of its rapid learning capacity. However, vanilla... 
Hidden neuron | Extreme learning machine | Sparsity | Matrix decomposition | Least squares estimation | HIDDEN-NODES | UNIVERSAL APPROXIMATION | GROWTH | CLASSIFICATION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
Neurocomputing, ISSN 0925-2312, 03/2014, Volume 128, pp. 296 - 302
Bankruptcy prediction has been widely studied as a binary classification problem using financial ratios methodologies. In this paper, Leave-One-Out-Incremental... 
Leave-One-Out | Extreme Learning Machine | Incremental Learning | Bankruptcy Prediction | RATIOS | NEURAL-NETWORKS | CLASSIFICATION | FAILURE | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Computer science | Analysis | Bankruptcy | Learning | Tasks | Neurons | Classification | Strategy | Bankruptcies | Indicators | Plugs
Journal Article
Neurocomputing, ISSN 0925-2312, 02/2015, Volume 149, pp. 464 - 471
Extreme Learning Machine (ELM) and its variants have been widely used for many applications due to its fast convergence and good generalization performance.... 
Incremental learning | Correctional learning | Extreme learning machine | Big data classification | Decremental learning | REGRESSION | ELM | FRAMEWORK | FEEDFORWARD NETWORKS | MAPREDUCE | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Analysis | Big data | Learning | Training | Multiplication | Tasks | Computation | Neural networks | Mathematical analysis | Shortages | Convergence
Journal Article
Neurocomputing, ISSN 0925-2312, 2010, Volume 73, Issue 16, pp. 3191 - 3199
Journal Article
Neurocomputing, ISSN 0925-2312, 03/2014, Volume 128, pp. 50 - 58
A fast and outstanding incremental learning algorithm is required to meet the demand of online applications where data comes one by one or chunk by chunk to... 
Extreme learning machine (ELM) | Fixed size LSSVM (FS-LSSVM) | Online sequential ELM (OS-ELM) | Incremental learning algorithm | Incremental ELM (IELM) | CLASSIFIER | NETWORKS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Data mining | Analysis | Algorithms | Learning | Demand | Semiconductors | Neural networks | Mathematical models | Retraining | Online
Journal Article
International Journal of Machine Learning and Cybernetics, ISSN 1868-8071, 3/2018, Volume 9, Issue 3, pp. 465 - 476
Journal Article
Neurocomputing, ISSN 0925-2312, 01/2016, Volume 174, pp. 134 - 142
Extreme Learning Machine (ELM) proposed by Huang et al. [2] is a novel algorithm for single hidden layer feedforward neural networks (SLFNs) with extremely... 
Incremental learning | Extreme Learning Machine | Neural networks | Regularization | REGRESSION | NEURAL-NETWORKS | CLASSIFICATION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Algorithms
Journal Article
Applied Soft Computing, ISSN 1568-4946, 10/2017, Volume 59, pp. 546 - 555
The past decade has witnessed an explosive growth of data streams in Internet, biometrics, remote sensing and other fields. Nowadays many supervised... 
Extreme learning machine | Semi-supervised incremental/online learning | Graph laplacian | Incremental laplacian regularization | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Electrical engineering | Online education | Data mining | Machine learning
Journal Article
Neurocomputing, ISSN 0925-2312, 11/2018, Volume 316, pp. 405 - 414
Incremental extreme learning machine has been proved to be an efficient and simple universal approximator. However, the network architecture may be very large... 
Orthogonalization method | Universal approximator | Inefficient nodes | Incremental extreme learning machine | Least square solution | NUMBER | APPROXIMATION | MULTILAYER FEEDFORWARD NETWORKS | CLASSIFICATION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | NONLINEAR-SYSTEMS | HIDDEN NEURONS | ADAPTIVE NEURAL-CONTROL
Journal Article
Neurocomputing, ISSN 0925-2312, 06/2017, Volume 241, pp. 1 - 17
To compact the architecture of extreme learning machine (ELM), two incremental learning algorithms are proposed in this paper. The previous incremental... 
Incremental learning | Gram–Schmidt process | Extreme learning machine | QR decomposition | SCHEME | Gram-Schmidt process | HIDDEN NODES | ALGORITHM | FEEDFORWARD NEURAL-NETWORKS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Algorithms | Electric power systems | Data mining | Neural networks
Journal Article
计算机科学技术学报:英文版, ISSN 1000-9000, 2017, Volume 32, Issue 3, pp. 630 - 643
Journal Article
IEEE Transactions on Geoscience and Remote Sensing, ISSN 0196-2892, 07/2019, Volume 57, Issue 7, pp. 4192 - 4201
Journal Article
Neurocomputing, ISSN 0925-2312, 12/2018, Volume 321, pp. 72 - 81
For regression tasks, the existing extreme learning machine (ELM) and kernel extreme learning machine (KELM) algorithms exhibit singularity and over-fitting... 
Regression | Incremental extreme learning machine | Regularization | Random reduced kernel | FRAMEWORK | CLASSIFICATION | ELM SELECTIVE ENSEMBLE | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Information science | Algorithms | Wolves | Neurons | Mechanical engineering
Journal Article