Results 1 to 10 of about 5,507 (168)

Ultra-Short-Term Wind Power Prediction by Salp Swarm Algorithm-Based Optimizing Extreme Learning Machine

IEEE Access, 2020
Wind power generation accounts for an increasing proportion of the power grid, so efficient and accurate real-time wind power prediction is particularly important for wind power grid.
Lian Tan, Jing Han, Hongtao Zhang
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Novel Statistical Regularized Extreme Learning Algorithm to Address the Multicollinearity in Machine Learning

IEEE Access
The multicollinearity problem is a common phenomenon in data-driven studies, significantly affecting the performance of machine learning algorithms during the process of extracting information from data.
Hasan Yildirim
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Hybrid intelligent deep kernel incremental extreme learning machine based on differential evolution and multiple population grey wolf optimization methods

Automatika, 2019
Focussing on the problem that redundant nodes in the kernel incremental extreme learning machine (KI-ELM) which leads to ineffective iteration increase and reduce the learning efficiency, a novel improved hybrid intelligent deep kernel incremental ...
Di Wu, Zong Shun Qu, Feng Jiao Guo, Xiao Lin Zhu, Qin Wan   +4 more
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Text Classification Based on Weighted Extreme Learning Machine

Ibn Al-Haitham Journal for Pure and Applied Sciences, 2019
The huge amount of documents in the internet led to the rapid need of text classification (TC). TC is used to organize these text documents. In this research paper, a new model is based on Extreme Machine learning (EML) is used.
Hayder Mahmood Salman
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A Novel Nonparallel Hyperplane Based Extreme Learning Machine for Classification

IEEE Access
Recently, researchers have developed nonparallel variants of both extreme learning machine (ELM) and support vector machine (SVM) classifiers to improve learning speed and generalization.
Arvind Kumar, Sanyam Shukla, Manasi Gyanchandani   +2 more
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An Algorithm for Surface Defect Identification of Steel Plates Based on Genetic Algorithm and Extreme Learning Machine

Metals, 2017
Defects on the surface of steel plates are one of the most important factors affecting the quality of steel plates. It is of great importance to detect such defects through online surface inspection systems, whose ability of defect identification comes ...
Siyang Tian, Ke Xu
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Landslide displacement prediction based on AdaBoost-PSO-ELM algorithm

Dianzi Jishu Yingyong, 2019
The process of landslides in mine dumps is a dynamic, large-delay, highly nonlinear characteristic problem. There are many factors affecting the landslide of mine dumps, and each characteristic index has mutual influence.
Zhang Xiaoming, Cao Guoqing, Chen Zengqiang, He Jiakang   +3 more
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Forecasting the Low-Voltage Line Damage Caused by Typhoons in China Based on the Factor Analysis Method and an Improved Gravitational Search Algorithm-Extreme Learning Machine

Energies, 2018
The frequency of typhoons in China has gradually increased, resulting in serious damage to low-voltage power grid lines. Therefore, it is of great significance to study the influencing factors and predict the amount of damage, which contributes to ...
Weijun Wang, Weisong Peng, Xin Tan, Haoyue Wang, Chenjun Sun   +4 more
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OMP-ELM: Orthogonal Matching Pursuit-Based Extreme Learning Machine for Regression

Journal of Intelligent Systems, 2015
AbstractExtreme learning machine (ELM) is a recent scheme for single hidden layer feed forward networks (SLFNs). It has attracted much interest in the machine intelligence and pattern recognition fields with numerous real-world applications. The ELM structure has several advantages, such as its adaptability to various problems with a rapid learning ...
Alcin Omer F., Sengur Abdulkadir, Qian Jiang, Ince Melih C.   +3 more
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Solving Data Overlapping Problem Using A Class‐Separable Extreme Learning Machine Auto‐Encoder

Advanced Intelligent Systems
Data overlapping and imbalanced data are significant challenges in data classification. Extreme learning machine auto‐encoding (ELM‐AE) is a feature reduction method that transforms original features into a new set of features capturing essential ...
Ekkarat Boonchieng, Wanchaloem Nadda
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