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