@inbook{e72ed044fd4d482cb996d2027cc661e7,
title = "Analytical decision boundary feature extraction for neural networks with multiple hidden layers",
abstract = "A feature extraction method based on decision boundaries has been proposed for neural networks. The method is based on the fact that normal vectors to the decision boundary provide the information necessary for discriminating between classes. However, it is observed that the previous implementation of numerical approximation of the gradient has resulted in some performance loss and a long processing time. In this paper, we propose a new method to calculate normal vectors analytically for neural networks with multiple hidden layers. Experiments showed noticeable improvements in performance and speed.",
author = "Jinwook Go and Chulhee Lee",
year = "2003",
doi = "10.1007/978-3-540-45179-2_71",
language = "English",
isbn = "3540407308",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "579--587",
editor = "Nicolai Petkov and Westenberg, {Michel A.}",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
address = "Germany",
}