DocumentCode :
2172843
Title :
Spiking neural network for control chart pattern recognition
Author :
Pham, D.T. ; Packianather, M.S. ; Charles, E.Y.A.
Author_Institution :
Manuf. Eng. Centre, Cardiff Univ., Cardiff, UK
fYear :
2007
fDate :
2-5 July 2007
Firstpage :
1392
Lastpage :
1397
Abstract :
Temporal coding spiking neural networks are receiving wider attention due to their computational power. The coincidence detection property of a spiking neuron, which has no counterpart in a sigmoidal neuron, is one of the reasons for that power. This feature can be utilised to store input information in a network´s connection delays and to detect input patterns accurately and efficiently.
Keywords :
control charts; delays; encoding; neurocontrollers; pattern recognition; process control; coincidence detection property; control chart pattern recognition; network connection delays; sigmoidal neuron; temporal coding spiking neural networks; Accuracy; Biological neural networks; Control charts; Delays; Neurons; Pattern recognition; Training;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (ECC), 2007 European
Conference_Location :
Kos
Print_ISBN :
978-3-9524173-8-6
Type :
conf
Filename :
7068986
Link To Document :
بازگشت