A review on extreme learning machine

• Published in: Multimedia tools and applications Vol. 81; no. 29; pp. 41611 - 41660
• Main Authors: Wang, Jian, Lu, Siyuan, Wang, Shui-Hua, Zhang, Yu-Dong
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.12.2022; Springer Nature B.V
• Subjects: 1181: Multimedia-based Healthcare Systems using Computational Intelligence; Algorithms; Approximation; Artificial neural networks; Bias; Classification; Clustering; Cognitive tasks; Computed tomography; Computer Communication Networks; Computer Science; Data Structures and Information Theory; Machine learning; Medical imaging; Multimedia; Multimedia Information Systems; Neural networks; Neurons; Special Purpose and Application-Based Systems; optimization; extreme learning machine; regression; clustering; classification; neural network; medical imaging

Extreme 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. Firstly, we will focus on the theo...