DocumentCode
2334925
Title
Applying non-ideal mixed analog-digital multipliers in electronic processing circuits based on neural networks
Author
Lajusticia, Carlos ; Medrano, Nicolás ; Zatorre, Guillermo ; Martin, Bonifacio
Author_Institution
Electron. Design Group, Zaragoza Univ., Spain
Volume
2
fYear
2003
fDate
16-19 Sept. 2003
Firstpage
362
Abstract
This paper analyses effects of component mismatching and non-linearities in mixed analog-digital multipliers used in analog implementation of artificial neural networks. Function estimation and classification problems using a multilayer perceptron are studied, analyzing their results, accuracy requirements and network modifications required.
Keywords
analogue processing circuits; analogue-digital conversion; function approximation; multilayer perceptrons; artificial neural networks; electronic processing circuits; embedded systems; function classification; function estimation; mixed analog-digital multipliers; multilayer perceptron; Analog-digital conversion; Artificial neural networks; Circuits; Energy consumption; Intelligent networks; Intelligent sensors; Multilayer perceptrons; Neural networks; Neurons; Resistors;
fLanguage
English
Publisher
ieee
Conference_Titel
Emerging Technologies and Factory Automation, 2003. Proceedings. ETFA '03. IEEE Conference
Print_ISBN
0-7803-7937-3
Type
conf
DOI
10.1109/ETFA.2003.1248722
Filename
1248722
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