DocumentCode :
329065
Title :
Evaluation of artificial neural network classifiers in small sample size situations
Author :
Hamamoto, Yoshihiko ; Uchimura, Shunji ; Kanaoka, Taiho ; Tomita, Shingo
Author_Institution :
Fac. of Eng., Yamaguchi Univ., Ube, Japan
Volume :
2
fYear :
1993
fDate :
25-29 Oct. 1993
Firstpage :
1731
Abstract :
Small-training sample size problems in artificial neural network classifier design are discussed. A comparison of the artificial neural network (ANN) and nonparametric statistical classifiers in small sample size situations is also presented in terms of the error probability.
Keywords :
error statistics; neural nets; nonparametric statistics; pattern classification; probability; artificial neural network classifiers; error probability; nonparametric statistical classifiers; small sample size situations; Artificial neural networks; Buildings; Design engineering; Educational institutions; Error probability; Intelligent networks; Network topology; Neurons; Pattern analysis; Pattern recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on
Print_ISBN :
0-7803-1421-2
Type :
conf
DOI :
10.1109/IJCNN.1993.716988
Filename :
716988
Link To Document :
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