Acceleration of learning in hybrid neural networks: A novel approach for the design of brain chaosmakers

Author

Bardakjian, Berj L. ; Chiu, Alan

Author_Institution

Inst. of Biomaterials & Biomed. Eng., Toronto Univ., Ont., Canada

Volume

1

fYear

2001

fDate

2001

Firstpage

687

Abstract

Epileptic seizures correspond to episodes of increased rhythmicity of the normally chaotic activity in biological neural networks. We propose to use hybrid neural networks where artificial neural networks are used to control the biological neural networks by learning their different states. The learning is dramatically accelerated when using a conjugate gradient method in conjunction with the Fletcher-Reeves method of optimization.

Keywords

conjugate gradient methods; electroencephalography; learning systems; neural nets; optimisation; patient treatment; Fletcher-Reeves optimization method; artificial neural networks; brain chaosmakers design; brain electrical activity pattern; brain states learning; electrical activity; epileptic seizures therapy technique; hybrid neural networks; increased rhythmicity episodes; neuronal dynamics control; seizures suppression; Acceleration; Artificial neural networks; Biological neural networks; Biomedical engineering; Chaos; Character generation; Epilepsy; Intelligent networks; Optimization methods; Voltage;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE

ISSN

1094-687X

Print_ISBN

0-7803-7211-5

Type

conf

DOI

10.1109/IEMBS.2001.1019029

Filename

1019029