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Functional extreme learning machine [PDF]

Frontiers in Computational Neuroscience, 2023
IntroductionExtreme learning machine (ELM) is a training algorithm for single hidden layer feedforward neural network (SLFN), which converges much faster than traditional methods and yields promising performance.
Xianli Liu, Guo Zhou, Yongquan Zhou, Yongquan Zhou, Yongquan Zhou, Qifang Luo, Qifang Luo   +6 more
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Applying genetic algorithm to extreme learning machine in prediction of tumbler index with principal component analysis for iron ore sintering. [PDF]

Sci Rep
Wang S.
europepmc   +3 more sources

Time efficient variants of Twin Extreme Learning Machine

Intelligent Systems with Applications, 2023
Twin Extreme Learning Machine models can obtain better generalization ability than the standard Extreme Learning Machine model. But, they require to solve a pair of quadratic programming problems for this.
Pritam Anand, Amisha Bharti, Reshma Rastogi   +2 more
doaj   +1 more source

Gas Turbine Model Identification Based on Online Sequential Regularization Extreme Learning Machine with a Forgetting Factor

Energies, 2022
Due to the advantages of high convergence accuracy, fast training speed, and good generalization performance, the extreme learning machine is widely used in model identification. However, a gas turbine is a complex nonlinear system, and its sampling data
Rui Yang, Yongbao Liu, Xing He, Zhimeng Liu   +3 more
doaj   +1 more source

Dual-Weighted Kernel Extreme Learning Machine for Hyperspectral Imagery Classification

Remote Sensing, 2021
Due to its excellent performance in high-dimensional space, the kernel extreme learning machine has been widely used in pattern recognition and machine learning fields.
Xumin Yu, Yan Feng, Yanlong Gao, Yingbiao Jia, Shaohui Mei   +4 more
doaj   +1 more source

Multilayer Fisher extreme learning machine for classification

Complex & Intelligent Systems, 2022
As a special deep learning algorithm, the multilayer extreme learning machine (ML-ELM) has been extensively studied to solve practical problems in recent years.
Jie Lai, Xiaodan Wang, Qian Xiang, Jian Wang, Lei Lei   +4 more
doaj   +1 more source

Unravelling an optical extreme learning machine [PDF]

EPJ Web of Conferences, 2022
Extreme learning machines (ELMs) are a versatile machine learning technique that can be seamlessly implemented with optical systems. In short, they can be described as a network of hidden neurons with random fixed weights and biases, that generate a ...
Silva Duarte, Silva Nuno A., Ferreira Tiago D., Rosa Carla C., Guerreiro Ariel   +4 more
doaj   +1 more source

Efficient smile detection by Extreme Learning Machine [PDF]

, 2015
Smile detection is a specialized task in facial expression analysis with applications such as photo selection, user experience analysis, and patient monitoring.
An, L, Bhanu, B, Yang, S
core   +1 more source

Linear vs Nonlinear Extreme Learning Machine for Spectral-Spatial Classification of Hyperspectral Image [PDF]

, 2017
As a new machine learning approach, extreme learning machine (ELM) has received wide attentions due to its good performances. However, when directly applied to the hyperspectral image (HSI) classification, the recognition rate is too low. This is because
Cao, Faxian, Jiang, Mengying, Ling, Wing-Kuen, Ren, Jinchang, Yang, Zhijing   +4 more
core   +3 more sources

Experimenting with Extreme Learning Machine for Biomedical Image Classification

Applied Sciences, 2023
Currently, deep learning networks, with particular regard to convolutional neural network models, are typically exploited for biomedical image classification.
Francesco Mercaldo, Luca Brunese, Fabio Martinelli, Antonella Santone, Mario Cesarelli   +4 more
doaj   +1 more source