Computing with Activities V. experimental proof of the stability of closed self organizing maps (gSOMs) and the potential formulation of neural nets

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...

Full description

Saved in:
Bibliographic Details
Main Author: Reuter, Matthias
Format: Conference Proceeding
Language:English
Subjects:
Computing with Activities
Neural Impact
Neural Impulse
Neural networks
Self organizing feature maps
Stability
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:2154-4824
2154-4832