DocumentCode :
3275402
Title :
A system extending backpropagation to learn classification/categorization without a teacher, form a small basis for larger knowledge structures, and make additional reasoning using knowledge learned from classification/categorization
Author :
Wu, B.Y.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
fYear :
1989
fDate :
0-0 1989
Abstract :
Summary form only given. The author briefly reviews backpropagation and points out in detail the problems and issues related to it. Then he examines a method that will help alleviate some of these problems, all within the same system. Although the system is explained part by part, the small contribution of this study is perhaps not how each specific part solves a problem, but how the various pieces of the resulting system fit together to alleviate some of those problems within the same system. In addition, the author examines some of the issues related to the resulting method.<>
Keywords :
learning systems; neural nets; backpropagation; classification/categorization; knowledge structures; reasoning; resulting system; Learning systems; Neural networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 1989. IJCNN., International Joint Conference on
Conference_Location :
Washington, DC, USA
Type :
conf
DOI :
10.1109/IJCNN.1989.118550
Filename :
118550
Link To Document :
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