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Authors: Roman Sergienko 1 ; Oleg Akhtiamov 2 ; Eugene Semenkin 2 and Alexander Schmitt 1

Affiliations: 1 Ulm University, Germany ; 2 Siberian State Aerospace University, Russian Federation

Keyword(s): Natural Language Processing, Classification, Artificial Neural Network, Ward Net, Error Backpropagation Algorithm, Genetic Algorithm, Supervised Learning.

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

Abstract: A novel approach to artificial neural network design using a combination of determined and stochastic optimization methods (the error backpropagation algorithm for weight optimization and the classical genetic algorithm for structure optimization) is described in this paper. The novel approach to GA-based structure optimization has a simplified solution representation that provides effective balance between the ANN structure representation flexibility and the problem dimensionality. The novel approach provides improvement of classification effectiveness in comparison with baseline approaches and requires less computational resource. Moreover, it has fewer parameters for tuning in comparison with the baseline ANN structure optimization approach. The novel approach is verified on the real problem of natural language call routing and shows effective results confirmed with statistical analysis.

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Paper citation in several formats:
Sergienko, R.; Akhtiamov, O.; Semenkin, E. and Schmitt, A. (2015). A Novel Approach to Neural Network Design for Natural Language Call Routing. 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 102-109. DOI: 10.5220/0005515401020109

@conference{icinco15,
author={Roman Sergienko. and Oleg Akhtiamov. and Eugene Semenkin. and Alexander Schmitt.},
title={A Novel Approach to Neural Network Design for Natural Language Call Routing},
booktitle={Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO},
year={2015},
pages={102-109},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005515401020109},
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 - A Novel Approach to Neural Network Design for Natural Language Call Routing
SN - 978-989-758-122-9
IS - 2184-2809
AU - Sergienko, R.
AU - Akhtiamov, O.
AU - Semenkin, E.
AU - Schmitt, A.
PY - 2015
SP - 102
EP - 109
DO - 10.5220/0005515401020109
PB - SciTePress