DocumentCode :
1903119
Title :
A chaotic neural unit
Author :
Dingle, Alison A. ; Andreae, John H. ; Jones, Richard D.
Author_Institution :
Dept. of Electr. & Electron. Eng., Canterbury Univ., Christchurch, New Zealand
fYear :
1993
fDate :
1993
Firstpage :
335
Abstract :
A neural unit is proposed based on a simple chaotic system. While this chaotic neural unit retains characteristics of conventional neural units, it also displays a rich range of behavior reminiscent of that observed in neurons. Networks of these neural units are shown to produce chaotic activity which is qualitatively similar to that observed in recordings of the electrical activity of the brain (EEGs). The introduction of chaotic neural units into the self-organizing map improves the ability of the network to cluster input patterns. The introduction of chaos into neural networks may enhance their performance and, at the same time, provide insights into the operation of the brain
Keywords :
chaos; pattern recognition; self-organising feature maps; chaotic activity; chaotic neural unit; electrical activity; input patterns; pattern clustering; self-organizing map; Bifurcation; Biomedical engineering; Chaos; Difference equations; Displays; Electroencephalography; Hospitals; Logistics; Neurons; Physics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 1993., IEEE International Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-0999-5
Type :
conf
DOI :
10.1109/ICNN.1993.298579
Filename :
298579
Link To Document :
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