DocumentCode
1039649
Title
Packed hyper-ellipsoid classifiers
Author
Tattersall, G.D. ; Yi, Kyongsu
Author_Institution
Sch. of Inf. Syst., East Anglia Univ., Norwich
Volume
30
Issue
5
fYear
1994
fDate
3/3/1994 12:00:00 AM
Firstpage
427
Lastpage
428
Abstract
Pattern classification is frequently performed using the k-nn algorithm or a neural network. The choice of parameters for the former is often difficult and the amount of data which has to be stored in the classifier can be high. Neural network classifiers can overcome some of these problems but learning is often unreliable and slow. An alternative which combines some of the best features of the k-nn and neural network classifier is described by the authors. The classifier is called a packed hyper-ellipsoid classifier
Keywords
neural nets; pattern recognition; learning; neural network; packed hyper-ellipsoid classifier; pattern classification;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:19940316
Filename
273252
Link To Document