Title :
Use of bootstrap samples in designing artificial neural network classifiers
Author :
Mitani, Yoshihiro ; Hamamoto, Yoshihiko ; Tomita, Shingo
Author_Institution :
Fac. of Eng., Yamaguchi Univ., Ube, Japan
Abstract :
We propose a new bootstrap method for designing artificial neural network (ANN) classifiers. Moreover, the classification performance of ANN classifiers based on the new bootstrap method is demonstrated in small training sample size situations on the artificial data sets
Keywords :
backpropagation; neural nets; pattern classification; statistical analysis; artificial neural network classifiers; bootstrap samples; classification performance; Artificial neural networks; Design engineering; Design methodology; Electronic mail; Error probability; Extrapolation; Intelligent networks; Interpolation; Neurons; Statistics;
Conference_Titel :
Neural Networks, 1995. Proceedings., IEEE International Conference on
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-2768-3
DOI :
10.1109/ICNN.1995.489001
