Search Results for author:
Found 2 papers, 0 papers with code
How Powerful are Shallow Neural Networks with Bandlimited Random Weights?
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.
A study on effectiveness of extreme learning machine
Extreme learning machine (ELM), proposed by Huang et al., has been shown a promising learning algorithm for single-hidden layer feedforward neural networks (SLFNs).
Cannot find the paper you are looking for? You can
Submit a new open access paper.
