An investigation of the properties of evolving fuzzy neural networks
Michael John Watts · 2003
The paper presents an investigation into the properties of evolving fuzzy neural networks. It is shown that for the task of isolated phoneme recognition these networks are resistant to forgetting, highly adaptive and possess good generalisation capabilities. It is also shown which training parameters are most relevant to the behaviour of the network, and what effect adjustment of these parameters will have.