# A deep residual compensation extreme learning machine and applications

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-deep-residual-compensation-extreme-learning-machine-and-applications/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Yinghao Chen,Xiao‐Liang Xie,Tianle Zhang,Jiaxian Bai,Muzhou Hou |
| Citations | 37 |
| DOI | 10.1002/for.2663 |
| Fields | Biochemistry, Genetics and Molecular Biology,Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3000434807 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Xiao‐Liang Xie](https://scholariq.org/researchers/xiao-liang-xie/)

## Paper primary topic

- [Machine Learning and ELM](https://scholariq.org/topics/machine-learning-and-elm/)

## Paper topics

- [Machine Learning and ELM](https://scholariq.org/topics/machine-learning-and-elm/)
- [Neural Networks and Applications](https://scholariq.org/topics/neural-networks-and-applications/)
- [Extracellular vesicles in disease](https://scholariq.org/topics/extracellular-vesicles-in-disease/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.