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
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