Radial basis function neural networks: a topical state-of-the-art survey
Work
Year: 2016
Type: article
Abstract: Radial basis function networks (RBFNs) have gained widespread appeal amongst researchers and have shown good performance in a variety of application domains. They have potential for hybridization and... more
Source: Open Computer Science
Institutions Ajou University, Yonsei University
Cites: 160
Cited by: 100
Related to: 10
FWCI: 4.089
Citation percentile (by year/subfield): 91.04
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Sustainable Development Goal Partnerships for the goals
Open Access status: gold
APC paid (est): $1,078