Singularity Stairs Following with Limited Numbers of Hidden Units

Seiya Satoh, Ryohei Nakano

Abstract

In a search space of a multilayer perceptron having J hidden units, MLP(J), there exist flat areas called singular regions that cause serious stagnation of learning. Recently a method called SSF1.3 utilizing singular regions has been proposed to systematically and stably find excellent solutions. SSF1.3 starts search from a search space of MLP(1), increasing J one by one. This paper proposes SSF2 that performs MLP search by utilizing singular regions with J changed bidirectionally within a certain range. The proposed method was evaluated using artificial and real data sets.

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Paper Citation


in Harvard Style

Satoh S. and Nakano R. (2014). Singularity Stairs Following with Limited Numbers of Hidden Units . In Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: NCTA, (IJCCI 2014) ISBN 978-989-758-054-3, pages 180-186. DOI: 10.5220/0005075601800186


in Bibtex Style

@conference{ncta14,
author={Seiya Satoh and Ryohei Nakano},
title={Singularity Stairs Following with Limited Numbers of Hidden Units},
booktitle={Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: NCTA, (IJCCI 2014)},
year={2014},
pages={180-186},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005075601800186},
isbn={978-989-758-054-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: NCTA, (IJCCI 2014)
TI - Singularity Stairs Following with Limited Numbers of Hidden Units
SN - 978-989-758-054-3
AU - Satoh S.
AU - Nakano R.
PY - 2014
SP - 180
EP - 186
DO - 10.5220/0005075601800186