APPLICATIONS OF BOOTSTRAP METHOD IN NEURAL NETWORKS
Reza Habibi, Hamed Habibi · 2012
This paper is concerned with bootstrap bias correction and forming a bootstrap confidence interval for outputs of a given trained neural network. We apply our method to the problem of symmetry detection for eight bits code as well as in time series prediction. A real data set is also considered. Conclusions are given.