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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 +6 more
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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 +2 more
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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 +3 more
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A review on extreme learning machine [PDF]
Multimedia Tools and Applications, 2021 AbstractExtreme 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. In this paper, we hope to present a comprehensive review on ELM.
Jian Wang 0109 +3 more
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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 +4 more
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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 +4 more
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Massive MIMO as an Extreme Learning Machine [PDF]
IEEE Transactions on Vehicular Technology, 2021 This work shows that a massive multiple-input multiple-output (MIMO) system with low-resolution analog-to-digital converters (ADCs) forms a natural extreme learning machine (ELM). The receive antennas at the base station serve as the hidden nodes of the ELM, and the low-resolution ADCs act as the ELM activation function.
Dawei Gao +2 more
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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 +4 more
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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 +4 more
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Development and research of a neural network alternate incremental learning algorithm
Компьютерная оптика, 2023 In this paper, the relevance of developing methods and algorithms for neural network incremental learning is shown. Families of incremental learning techniques are presented. A possibility of using the extreme learning machine for incremental learning is
A.A. Orlov, E.S. Abramova
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