Title :
An investigation of the properties of evolving fuzzy neural networks
Author_Institution :
Dept. of Inf. Sci., Otago Univ., Dunedin, New Zealand
Abstract :
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
Keywords :
adaptive systems; fuzzy neural nets; generalisation (artificial intelligence); learning (artificial intelligence); speech recognition; adaptive neural network; evolving fuzzy neural networks; generalisation; isolated phoneme recognition; training parameters; Artificial neural networks; Fuzzy logic; Fuzzy neural networks; Fuzzy systems; Immune system; Information science; Input variables; Neural networks; Neurons; Robustness;
Conference_Titel :
Neural Information Processing, 1999. Proceedings. ICONIP '99. 6th International Conference on
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-5871-6
DOI :
10.1109/ICONIP.1999.843989
