DocumentCode :
436368
Title :
Designing ADC by means of soft computing
Author :
Samie, Mohammad ; Farjah, E. ; Shabaninia, Faridoon
Author_Institution :
Department of Electrical Engineering, Shiraz University, Shiraz, IRAN
Volume :
17
fYear :
2004
fDate :
June 28 2004-July 1 2004
Firstpage :
561
Lastpage :
566
Abstract :
In this paper, the designing of ADC is studied by means of son computing. It is shown when fuzzy system has single input it can be multiplied in the premise rules by introducing proper fuzzy words and linguistic operator for amplifying knowledge base. Instinctive and learning behaviors, knowledge base and topology of circuit are found using fuzzy voronoi diagram in a POE model based program. This converter implements a set of processes during the analog to digital converting. It can be a fast ADC with more proper structure for hybrid neural network because its parameters are applied in training algorithms.
Keywords :
Analog-digital conversion; Circuit topology; Equations; Feedforward neural networks; Fuzzy neural networks; MOSFET circuits; Network topology; Neural networks; Neurons; Periodic structures; Analog to Digital Converter; Fuzzy; Neural Network; POE Model and Voronoi; RRF; Soft Computing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation Congress, 2004. Proceedings. World
Conference_Location :
Seville
Print_ISBN :
1-889335-21-5
Type :
conf
Filename :
1439426
Link To Document :
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