DocumentCode :
2949851
Title :
Design and implementation of a neural command rule on a FPGA circuit
Author :
Ben Salem, Ahmed Karim ; Othman, Slim Ben ; Saoud, Slim Ben
Author_Institution :
LECAP-EPT, Nat. Inst. of Appl. Sci. & Technol., Tunis
fYear :
2005
fDate :
11-14 Dec. 2005
Firstpage :
1
Lastpage :
4
Abstract :
This paper presents the design and hardware implementation of a based neural networks controller on a FPGA (field programmable gate arrays) circuit. Our claim is to study and discuss the design of ANN (artificial neural networks) hardware solutions with high accuracy and full speed. The synthesis and implementation results presented in this paper confirm successfully the studied architectures, illustrate the effectiveness of the method proposed and show that the designed neural network controller provides good control performances.
Keywords :
artificial intelligence; circuit analysis computing; field programmable gate arrays; logic design; neurocontrollers; FPGA circuit; artificial neural network; field programmable gate array circuit; neural command rule; neural networks controller; Artificial neural networks; Circuits; Computer networks; Field programmable gate arrays; Mathematical model; Neural network hardware; Neural networks; Pi control; Proportional control; Transfer functions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics, Circuits and Systems, 2005. ICECS 2005. 12th IEEE International Conference on
Conference_Location :
Gammarth
Print_ISBN :
978-9972-61-100-1
Electronic_ISBN :
978-9972-61-100-1
Type :
conf
DOI :
10.1109/ICECS.2005.4633411
Filename :
4633411
Link To Document :
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