DocumentCode
231925
Title
Matching in memristor based auto-associative memory with application to pattern recognition
Author
Yuanfan Yang ; Mathew, Jinesh ; Pradhan, D.K.
Author_Institution
Univ. of Bristol, Bristol, UK
fYear
2014
fDate
19-23 Oct. 2014
Firstpage
1463
Lastpage
1468
Abstract
The study of memristor based associative memory design has become increasingly important with the advent of new hybrid CMOS Molecular (CMOL) technologies. To date, only a very few papers have been published on this topic. Specifically, little is know regarding partial or full match is possible in CMOL technologies which use CMOS and memristors. To this end, a new approach to implement partial of full matching in associative memory is introduced. The method is based on complementary transformations at the input. This method is augmented with transformations that specifically enhance partial or full matching of the input data while improving the performance. Experimental results show that the proposed methodology can achieve better performance than similar designs in the literature.
Keywords
CMOS memory circuits; content-addressable storage; integrated circuit design; memristor circuits; molecular electronics; pattern recognition; CMOL technology; full input data matching; hybrid CMOS molecular technology; memristor based auto-associative memory design; partial input data matching; pattern recognition; Associative memory; Biological neural networks; Character recognition; Frequency modulation; Memristors; Resistance; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing (ICSP), 2014 12th International Conference on
Conference_Location
Hangzhou
ISSN
2164-5221
Print_ISBN
978-1-4799-2188-1
Type
conf
DOI
10.1109/ICOSP.2014.7015242
Filename
7015242
Link To Document