Experimental evaluation of stochastic configuration networks: is SC algorithm inferior to hyper-parameter optimization method?

• Main Authors: Hu, Minghui, Suganthan, Ponnuthurai Nagaratnam
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence; Randomized Neural Network; Stochastic Configuration Network
• Online Access: https://hdl.handle.net/10356/162758
• Institution: Nanyang Technological University

To overcome the pitfalls of Random Vector Functional Link (RVFL), a network called Stochastic Configuration Networks (SCN) has been proposed. By constraining and adaptively selecting the range of randomized parameters using the Stochastic Configuration (SC) algorithm, SCN claims to be potent in buil...