New Learning Rules for Three-layered Feed-forward Neural Networks based on a General Learning Schema

Christina Klüver, Jürgen Klüver

Abstract

We propose a general schema for learning rules in neural networks, the General Enforcing Rule Schema (GERS), from which we infer new simplified learning rules for in particular supervised learning of three-layered feed-forward networks, namely Enforcing Rule Supervised ERS and ERS2. These rules are comparatively simpler than the established rule of Backpropagation and their performance is at least equivalent. The new rules are compared with Backpropagation in different experiments; an additional comparison is performed with real data for the prediction of parcel delivering.

References

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Paper Citation


in Harvard Style

Klüver C. and Klüver J. (2014). New Learning Rules for Three-layered Feed-forward Neural Networks based on a General Learning Schema . In Proceedings of the International Workshop on Artificial Neural Networks and Intelligent Information Processing - Volume 1: ANNIIP, (ICINCO 2014) ISBN 978-989-758-041-3, pages 27-36. DOI: 10.5220/0005125600270036


in Bibtex Style

@conference{anniip14,
author={Christina Klüver and Jürgen Klüver},
title={New Learning Rules for Three-layered Feed-forward Neural Networks based on a General Learning Schema},
booktitle={Proceedings of the International Workshop on Artificial Neural Networks and Intelligent Information Processing - Volume 1: ANNIIP, (ICINCO 2014)},
year={2014},
pages={27-36},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005125600270036},
isbn={978-989-758-041-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Workshop on Artificial Neural Networks and Intelligent Information Processing - Volume 1: ANNIIP, (ICINCO 2014)
TI - New Learning Rules for Three-layered Feed-forward Neural Networks based on a General Learning Schema
SN - 978-989-758-041-3
AU - Klüver C.
AU - Klüver J.
PY - 2014
SP - 27
EP - 36
DO - 10.5220/0005125600270036