DocumentCode :
2754323
Title :
Measuring the effects of normalizing weight vectors on the self-organizing map
Author :
Cheng, Yuan Bing
fYear :
1991
fDate :
8-14 Jul 1991
Abstract :
Summary form only given, as follows. Different normalization methods applied to the weight vectors of a self-organizing process produce different rates of organization for the process, different measures of stability, and different measures of correctness for the map produced. Processes involving the right kind of weight vector normalization methods produced superior rates of organization, stability measures, and correctness measures over processes that employed no normalization of weight vectors
Keywords :
neural nets; self-adjusting systems; stability; correctness measures; neural nets; self-organizing map; stability measures; weight vector normalisation; Computer science; Stability;
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.1991.155642
Filename :
155642
Link To Document :
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