DocumentCode :
1745027
Title :
Non-integer order integration by using neural networks
Author :
Abbisso, S. ; Caponetto, R. ; Diamante, O. ; Fortuna, L. ; Porto, D.
Author_Institution :
STMicroelectronics Soft Comput. Group, Catania, Italy
Volume :
3
fYear :
2001
fDate :
6-9 May 2001
Firstpage :
688
Abstract :
In this paper a new method for non-integer order integration is presented. It is based on a Multi-layer Perceptron modelization that allows an easy circuit design and a wide range of integration order. The neural network approach allows one to overcome some problems related to practical implementation of the circuit. An example of application regarding the control of a chaotic system is also reported in order to validate the proposed neural network modeling technique
Keywords :
Chua´s circuit; chaos; integrating circuits; neural nets; nonlinear systems; transfer functions; chaotic system; integration order; multi-layer perceptron modelization; neural network modeling technique; noninteger order integration; Approximation error; Bandwidth; Capacitors; Chaos; Circuit synthesis; Digital modulation; Frequency; Multilayer perceptrons; Neural networks; Transfer functions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 2001. ISCAS 2001. The 2001 IEEE International Symposium on
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-6685-9
Type :
conf
DOI :
10.1109/ISCAS.2001.921404
Filename :
921404
Link To Document :
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