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Authors: Victor Shcherbinin and Valery Kostenko

Affiliation: Moscow State University, Russian Federation

Keyword(s): Genetic Algorithm, Clustering, Machine Learning, Supervised Learning, Unsupervised Learning, Dynamic System, Abnormal Behavior, Training Set, Algebraic Approach, Axiomatic 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 trained on a set of trajectories containing normal and abnormal behavior of the system. The exact position of segments corresponding to abnormal behavior in the trajectories of the training set is unknown. To construct recognition algorithm, we use axiomatic approach to abnormal behavior recognition. In this paper we propose a novel two-stage training algorithm which uses ideas of unsupervised learning and evolutonary computation. The results of experimental evaluation of the proposed algorithm and its variations on synthetic data show statistically significant increase in recognition quality for the recognizers constructed by the proposed algorithm compared to the existing training algorithm.

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Paper citation in several formats:
Shcherbinin, V. and Kostenko, V. (2015). A Genetic Algorithm for Training Recognizers of Latent Abnormal Behavior of Dynamic Systems. In Proceedings of the 7th International Joint Conference on Computational Intelligence (IJCCI 2015) - ECTA; ISBN 978-989-758-157-1, SciTePress, pages 358-365. DOI: 10.5220/0005641303580365

@conference{ecta15,
author={Victor Shcherbinin. and Valery Kostenko.},
title={A Genetic Algorithm for Training Recognizers of Latent Abnormal Behavior of Dynamic Systems},
booktitle={Proceedings of the 7th International Joint Conference on Computational Intelligence (IJCCI 2015) - ECTA},
year={2015},
pages={358-365},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005641303580365},
isbn={978-989-758-157-1},
}

TY - CONF

JO - Proceedings of the 7th International Joint Conference on Computational Intelligence (IJCCI 2015) - ECTA
TI - A Genetic Algorithm for Training Recognizers of Latent Abnormal Behavior of Dynamic Systems
SN - 978-989-758-157-1
AU - Shcherbinin, V.
AU - Kostenko, V.
PY - 2015
SP - 358
EP - 365
DO - 10.5220/0005641303580365
PB - SciTePress