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Authors: Victor Shcherbinin and Valeriy Kostenko

Affiliation: Moscow State University, Russian Federation

Keyword(s): Genetic Algorithm, Machine Learning, Supervised Learning, Recognition Algorithm, Dynamic System, Training Set, Algebraic Approach.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Evolutionary Computing ; Genetic Algorithms ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Machine Learning ; Soft Computing ; Symbolic Systems

Abstract: We consider the problem of automatic construction of algorithms for recognition of abnormal behavior segments in phase trajectories of dynamic systems. The recognition algorithm is constructed using a set of examples of normal and abnormal behavior of the system. We use axiomatic approach to abnormal behavior recognition to construct abnormal behavior recognizers. In this paper we propose a modification of the genetic recognizer construction algorithm and a novel DTW-based recognition algorithm within this approach. The proposed modification reduces search space for the training algorithm and gives the recognition algorithm more information about phase trajectories. Results of experimental evaluation show that the proposed modification allows to reduce the number of recognition errors by an order of magnitude and to reduce the training time by a factor of 2 in comparison to the existing recognizer and recognizer construction algorithm.

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Paper citation in several formats:
Shcherbinin, V. and Kostenko, V. (2013). A Modification of Training and Recognition Algorithms for Recognition of Abnormal Behavior of Dynamic Systems. In Proceedings of the 5th International Joint Conference on Computational Intelligence (IJCCI 2013) - ECTA; ISBN 978-989-8565-77-8; ISSN 2184-3236, SciTePress, pages 103-110. DOI: 10.5220/0004552201030110

@conference{ecta13,
author={Victor Shcherbinin. and Valeriy Kostenko.},
title={A Modification of Training and Recognition Algorithms for Recognition of Abnormal Behavior of Dynamic Systems},
booktitle={Proceedings of the 5th International Joint Conference on Computational Intelligence (IJCCI 2013) - ECTA},
year={2013},
pages={103-110},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004552201030110},
isbn={978-989-8565-77-8},
issn={2184-3236},
}

TY - CONF

JO - Proceedings of the 5th International Joint Conference on Computational Intelligence (IJCCI 2013) - ECTA
TI - A Modification of Training and Recognition Algorithms for Recognition of Abnormal Behavior of Dynamic Systems
SN - 978-989-8565-77-8
IS - 2184-3236
AU - Shcherbinin, V.
AU - Kostenko, V.
PY - 2013
SP - 103
EP - 110
DO - 10.5220/0004552201030110
PB - SciTePress