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...

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Main Author: Reuter, M.
Format: Conference Proceeding
Language:English
Subjects:
Biomedical equipment
Computer industry
Computing with Activities
Frequency
Medical services
Multidimensional systems
Neural Impact
Neural Impulse
Neural networks
Neurons
Predictive control
Self organizing feature maps
Stability
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description 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.
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source IEEE Xplore All Conference Series
subjects Biomedical equipment
Computer industry
Computing with Activities
Frequency
Medical services
Multidimensional systems
Neural Impact
Neural Impulse
Neural networks
Neurons
Predictive control
Self organizing feature maps
Stability
title Computing with Activities V. experimental proof of the stability of closed self organizing maps (gSOMs) and the potential formulation of neural nets
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