A comprehensive evaluation of random vector functional link networks

By Le Zhang, Ponnuthurai Nagaratnam Suganthan. Information Sciences, 2016

443 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/65ffa98d01eabd725d0797e441f85192159c03df

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Junchuan Shi
2. Zhixiong Li
3. Ziyang Zhang
4. Dazhong Wu

In Computer Vision and Pattern Recognition

1. Bilal Mirza
2. Jie Wang
3. Wei Wang
4. Howard Choi
5. P. Ping
6. N. C. Chung

Citations in the corpus

• Machine Learning and Integrative Analysis of Biomedical Big Data (2019, background): “Non-iterative solutions for ANN include extreme learning machine (ELM) [188], random vector functional link (RVFL) [189,190], liquid state machine [191], echo state network [192], etc.”
• Prediction of surface roughness in extrusion-based additive manufacturing with machine learning (2019, background): “Random vector functional link (RVFL) network [34] is a new type of single layer feed forward neural network (SLFN).”