DocumentCode
2709619
Title
Using stereographic projection as a preprocessing technique for Upstart
Author
Saffery, James ; Thornton, Chris
Author_Institution
Dept. of Artificial Intelligence, Edinburgh Univ., UK
fYear
1991
fDate
8-14 Jul 1991
Firstpage
441
Abstract
Upstart is a constructive algorithm which learns by constructing a network of units rather than by modifying the weights of connections in a pre-wired network. The algorithm is not guaranteed to converge unless the input patterns satisfy certain criteria. However, this restriction can be overcome in some problems by using stereographic projection as a preprocessing technique. The technique is described, and an example is given in which the technique is used to enable Upstart to solve the two-spirals problem
Keywords
convergence; neural nets; Upstart; constructive algorithm; convergence; input patterns; learning; network construction; preprocessing technique; stereographic projection; two-spirals problem; Artificial intelligence; Artificial neural networks; Binary trees; Bridges; Convergence; Error correction; Pattern classification;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1991., IJCNN-91-Seattle International Joint Conference on
Conference_Location
Seattle, WA
Print_ISBN
0-7803-0164-1
Type
conf
DOI
10.1109/IJCNN.1991.155373
Filename
155373
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