DocumentCode
801086
Title
Analysis and design of an analog sorting network
Author
Wang, Jun
Author_Institution
Dept. of Ind. Technol., North Dakota Univ., Grand Forks, ND, USA
Volume
6
Issue
4
fYear
1995
fDate
7/1/1995 12:00:00 AM
Firstpage
962
Lastpage
971
Abstract
An analog sorting neural network is presented. First, existing order representations are discussed and a generalized order representation is introduced. The sorting problem is then formulated as the assignment problem. Based on the assignment problem formulation, the neural network architecture is described. Design principles and an op-amp based circuit realization of the analog neural network are delineated. Three illustrative examples are also discussed to demonstrate the capability and performance of the analog neural network. The proposed analog neural network is shown to be capable of monotonic and bitonic sorting and suitable for hardware implementation
Keywords
analogue processing circuits; network analysis; neural nets; operational amplifiers; sorting; analog neural network; analog sorting network; assignment problem; bitonic sorting; monotonic sorting; neural network architecture; order representations; Circuits; Data processing; Hopfield neural networks; Neural network hardware; Neural networks; Operational amplifiers; Recurrent neural networks; Signal processing algorithms; Sorting; Very large scale integration;
fLanguage
English
Journal_Title
Neural Networks, IEEE Transactions on
Publisher
ieee
ISSN
1045-9227
Type
jour
DOI
10.1109/72.392258
Filename
392258
Link To Document