Forming Neural Networks Design through Evolution

Eva Volná

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Paper

Forming Neural Networks Design through Evolution

In Proceedings of the 3rd International Workshop on Artificial Neural Networks and Intelligent Information Processing - Volume 0ICINCO, 13-20, 2007 , Angers, France

Author: Eva Volná

Affiliation: University of Ostrava, Czech Republic

Abstract: Neuroevolution techniques have been successful in many sequential decision tasks such as robot control and game playing. This paper aims at evolution in artificial neural networks (e.g. neuroevolution). Here is presented a neuroevolution system evolving populations of neurons that are combined to form the fully connected multilayer feedforward network with fixed architecture. In this paper, the transfer function has been shown to be an important part of architecture of the artificial neural network and have significant impact on an artificial neural network’s performance. In order to test the efficiency of described method, we applied it to the alphabet coding problem.

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Paper citation in several formats:

Volná, E. (2007). Forming Neural Networks Design through Evolution. In Proceedings of the 3rd International Workshop on Artificial Neural Networks and Intelligent Information Processing (ICINCO 2007) - ANNIIP; ISBN 978-972-8865-86-3, SciTePress, pages 13-20. DOI: 10.5220/0001624700130020

@conference{anniip07,
author={Eva Volná.},
title={Forming Neural Networks Design through Evolution},
booktitle={Proceedings of the 3rd International Workshop on Artificial Neural Networks and Intelligent Information Processing (ICINCO 2007) - ANNIIP},
year={2007},
pages={13-20},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001624700130020},
isbn={978-972-8865-86-3},
}

TY - CONF

JO - Proceedings of the 3rd International Workshop on Artificial Neural Networks and Intelligent Information Processing (ICINCO 2007) - ANNIIP
TI - Forming Neural Networks Design through Evolution
SN - 978-972-8865-86-3
AU - Volná, E.
PY - 2007
SP - 13
EP - 20
DO - 10.5220/0001624700130020
PB - SciTePress