DocumentCode
1696231
Title
Computing with Activities V. experimental proof of the stability of closed self organizing maps (gSOMs) and the potential formulation of neural nets
Author
Reuter, Matthias
Author_Institution
Cutec Inst. GmbH
fYear
2008
Firstpage
1
Lastpage
6
Abstract
In the last years the method of the computing of activities (CWA) has found it application in several industrial and medical applications. So we can show that especially predictive control can by handled by this special coding of information on closed self organizing maps (gSOMs). Nevertheless until today the mathematical proof, why CWA can guarantee predictive control and especially can guaranty stability was outstanding. The following paper presents the experimental proof of these premises, if a potential oriented formulation of the neural nets is used. Furthermore we show that the parameters impulse and impact of the nets leads to a better control of SOMs.
Keywords
self-organising feature maps; closed self organizing maps stability; neural impact; neural impulse; neural nets; predictive control; Biomedical equipment; Computer industry; Frequency; Medical services; Multidimensional systems; Neural networks; Neurons; Predictive control; Self organizing feature maps; Stability; Computing with Activities; Neural Impact; Neural Impulse;
fLanguage
English
Publisher
ieee
Conference_Titel
Automation Congress, 2008. WAC 2008. World
Conference_Location
Hawaii, HI
Print_ISBN
978-1-889335-38-4
Electronic_ISBN
978-1-889335-37-7
Type
conf
Filename
4699032
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