10 citations · 28 across the 18 of their papers we have counts for
4 papers · 1 filter
A Constructive Approach for Data-Driven Randomized Learning of Feedforward Neural Networks
Grzegorz Dudek
Feedforward neural networks with random hidden nodes suffer from a problem with the generation of random weights and biases as these are difficult to set optimally to obtain a good…
Generating Random Parameters in Feedforward Neural Networks with Random Hidden Nodes: Drawbacks of the Standard Method and How to Improve It
Grzegorz Dudek
The standard method of generating random weights and biases in feedforward neural networks with random hidden nodes, selects them both from the uniform distribution over the same f…
Improving Randomized Learning of Feedforward Neural Networks by Appropriate Generation of Random Parameters
Grzegorz Dudek
In this work, a method of random parameters generation for randomized learning of a single-hidden-layer feedforward neural network is proposed. The method firstly, randomly selects…
Data-Driven Randomized Learning of Feedforward Neural Networks
Grzegorz Dudek
Randomized methods of neural network learning suffer from a problem with the generation of random parameters as they are difficult to set optimally to obtain a good projection spac…