DocumentCode
3197117
Title
Neural network trends for frequency control: a review
Author
Hivert, B. ; Brendel, R.
Author_Institution
Lab. de Phys. et Metrol. des Oscillateurs, CNRS, Besancon, France
fYear
1995
fDate
31 May-2 Jun 1995
Firstpage
10
Lastpage
19
Abstract
The purpose of this paper is first, to give the reader a comprehensive “state of the art” in the neural networks field, then to discuss what kind of help such processing techniques may bring in the frequency control area. So, we will give basic considerations about neural networks, explaining their principle. Then, we will show how they work and what kind of task they might perform, principally from the point of view of function approximation and pattern recognition. We will use this background to show some applications and to be critical on how neural networks may be used. Then, a review of frequency control fields where neural networks may be applied will be presented. In order to let the reader make up their own opinion, particular attention will be paid to the literature
Keywords
frequency control; function approximation; neural nets; pattern recognition; frequency control; function approximation; neural networks; pattern recognition; Artificial neural networks; Biological cells; Biological neural networks; Cells (biology); Frequency control; Function approximation; Neural networks; Neurons; Pattern recognition; Vocabulary;
fLanguage
English
Publisher
ieee
Conference_Titel
Frequency Control Symposium, 1995. 49th., Proceedings of the 1995 IEEE International
Conference_Location
San Francisco, CA
Print_ISBN
0-7803-2500-1
Type
conf
DOI
10.1109/FREQ.1995.483878
Filename
483878
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