APPLICATION OF ARTIFICIAL NEURAL NETWORKS IN PARAMETRICAL INVESTIGATIONS OF THE ENERGY FLOW AND SYNCHRONIZATION

Artur Dabrowski,Anna Jach,Tomasz Kapitaniak

APPLICATION OF ARTIFICIAL NEURAL NETWORKS IN PARAMETRICAL INVESTIGATIONS OF THE ENERGY FLOW AND SYNCHRONIZATION

2010

Artur Dabrowski
Anna Jach
Tomasz Kapitaniak

In the paper,anapplicationofArtificialNeuralNetworks(ANNs) supportingtherecognitionoftheenergyflowandthesynchronizationwith useofImpactMapsisintroduced.Thisconnectionappliesanideaofthe EnergyVectorSpaceinthesystemwithimpacts.Anenergyflowdirectionchangewiththesynchronizationasatransitionalstateisshown.A newtypeoftheindexallowingonetocontrolthesystemdynamicstate isintroduced.Resultsofthenumericalsimulationsareusedintheneural networkteachingprocess.Resultsofacomparisonofthestraightimpact mapsimulationandtheneuralnetworkpredictionareshown.Prediction ofsystemparametersfortheenergyflowsynchronizationstatewithuse oftheneuralnetworkispresented.

Keywords:

Synchronization
Artificial neural network
Control engineering
Mathematics
Energy flow
Nonlinear system
Machine learning
Artificial intelligence

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