no code implementations • 19 Aug 2020 • Ming Li, Sho Sonoda, Feilong Cao, Yu Guang Wang, Jiye Liang
Despite the well-known fact that a neural network is a universal approximator, in this study, we mathematically show that when hidden parameters are distributed in a bounded domain, the network may not achieve zero approximation error.
no code implementations • 13 Sep 2014 • Yuguang Wang, Feilong Cao, Yubo Yuan
Extreme learning machine (ELM), proposed by Huang et al., has been shown a promising learning algorithm for single-hidden layer feedforward neural networks (SLFNs).