A Novel Model, Recurrent Fuzzy Associative Memory, for Recognizing Time-Series Patterns Contained Ambiguity and Its Application
The KIPS Transactions:PartB , Vol. 11, No. 4, pp. 449-456, Aug. 2004
10.3745/KIPSTB.2004.11.4.449, PDF Download:
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Cite this article
[IEEE Style]
W. Kim, J. J. Lee, G. Y. Kim, H. I. Choi, "A Novel Model, Recurrent Fuzzy Associative Memory, for Recognizing Time-Series Patterns Contained Ambiguity and Its Application," The KIPS Transactions:PartB , vol. 11, no. 4, pp. 449-456, 2004. DOI: 10.3745/KIPSTB.2004.11.4.449.
[ACM Style]
Won Kim, Joong Jae Lee, Gye Young Kim, and Hyung Il Choi. 2004. A Novel Model, Recurrent Fuzzy Associative Memory, for Recognizing Time-Series Patterns Contained Ambiguity and Its Application. The KIPS Transactions:PartB , 11, 4, (2004), 449-456. DOI: 10.3745/KIPSTB.2004.11.4.449.