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Authors: Shakhnaz Akhmedova and Eugene Semenkin

Affiliation: Siberian State Aerospace University, Russian Federation

Keyword(s): Neural Network Design, Multi-objective Optimization, Nature-inspired Algorithms, Medical Diagnostics.

Related Ontology Subjects/Areas/Topics: Hybrid Learning Systems ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Intelligent Fault Detection and Identification ; Optimization Algorithms

Abstract: An artificial neural network (ANN) based classifier design using the modification of a meta-heuristic called Co-Operation of Biology Related Algorithms (COBRA) for solving multi-objective unconstrained problems with binary variables is presented. This modification is used for the ANN structure selection. The weight coefficients of the ANN are adjusted with the original version of COBRA. Two medical diagnostic problems, namely Breast Cancer Wisconsin and Pima Indian Diabetes, were solved with this technique. Experiments showed that both variants of COBRA demonstrate high performance and reliability in spite of the complexity of the optimization problems solved. ANN-based classifiers developed in this way outperform many alternative methods on the mentioned classification problems. The workability of the proposed meta-heuristic optimization algorithms was confirmed.

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Paper citation in several formats:
Akhmedova, S. and Semenkin, E. (2015). ANN-based Classifiers Automatically Generated by New Multi-objective Bionic Algorithm. In Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO; ISBN 978-989-758-122-9; ISSN 2184-2809, SciTePress, pages 310-317. DOI: 10.5220/0005571603100317

@conference{icinco15,
author={Shakhnaz Akhmedova. and Eugene Semenkin.},
title={ANN-based Classifiers Automatically Generated by New Multi-objective Bionic Algorithm},
booktitle={Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO},
year={2015},
pages={310-317},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005571603100317},
isbn={978-989-758-122-9},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO
TI - ANN-based Classifiers Automatically Generated by New Multi-objective Bionic Algorithm
SN - 978-989-758-122-9
IS - 2184-2809
AU - Akhmedova, S.
AU - Semenkin, E.
PY - 2015
SP - 310
EP - 317
DO - 10.5220/0005571603100317
PB - SciTePress

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