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Authors: Ben McElroy and Gareth Howells

Affiliation: School of Engineering and Digital Arts and University of Kent, United Kingdom

Keyword(s): Weightless Neural Network, Meta-Networks, Genetic Algorithm, Neural Architectures, Ultrasonic Sensors.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Evolutionary Computing ; Genetic Algorithms ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Mobile Robots and Autonomous Systems ; Neural Networks Based Control Systems ; Optimization Algorithms ; Robotics and Automation ; Soft Computing

Abstract: This paper investigates the employment of a Genetic Algorithm to optimally configure the parameters of a class of weightless artificial neural network architectures. Specifically, the Genetic Algorithm is used to vary the parameters of the architecture and reduce the rigidity of the mutation algorithm to allow for a more varied population and avoidance of local minima traps. An exemplar of the system is presented in the form of an obstacle avoidance system for a mobile robot equipped with ultrasonic sensors.

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Paper citation in several formats:
McElroy, B. and Howells, G. (2011). IMPROVED ADAPTIVE META-NETWORK DESIGN EMPLOYING GENETIC ALGORITHM TECHNIQUES. In Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-989-8425-74-4; ISSN 2184-2809, pages 142-148. DOI: 10.5220/0003539401420148

@conference{icinco11,
author={Ben McElroy. and Gareth Howells.},
title={IMPROVED ADAPTIVE META-NETWORK DESIGN EMPLOYING GENETIC ALGORITHM TECHNIQUES},
booktitle={Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},
year={2011},
pages={142-148},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003539401420148},
isbn={978-989-8425-74-4},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - IMPROVED ADAPTIVE META-NETWORK DESIGN EMPLOYING GENETIC ALGORITHM TECHNIQUES
SN - 978-989-8425-74-4
IS - 2184-2809
AU - McElroy, B.
AU - Howells, G.
PY - 2011
SP - 142
EP - 148
DO - 10.5220/0003539401420148