In this review, we aim to report the current state of the theoretical research and practical advances on this subject.
In this review, we aim to report the current state of the theoretical research and practical advances on this subject.
We first give an overview of ELM from the theoretical perspective, including the interpolation theory, universal approximation capability, and generalization ...
A review on extreme learning machine · Computer Science, Mathematics. Multimedia Tools and Applications · 2021.
May 22, 2021 · Extreme learning machine (ELM) is a training algorithm for single hidden layer feedforward neural network (SLFN), which converges much faster than traditional ...
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Because of its outstanding performance, ELM has been successfully applied in many real-time learning tasks for classification, clustering, and regression.
Abstract. Feedforward neural networks (FFNN) has been used for machine learning researches, and it really has a wide acceptance. It was noted in the.
This review aims to present a complete view of Extreme Learning Machines (ELM), which has had wide uses in various domains, such as computer vision, ...
Jan 13, 2015 · A Review of multilayer extreme learning machine neural networks. Article 19 April 2023. Modern Machine Learning: Applications and Methods.
This special issue includes eight original works that detail the further developments of ELMs in theories, applications, and hardware implementation.