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Authors: Jerzy Jackowski 1 and Roman Wantoch-Rekowski 2

Affiliations: 1 Military University of Technology, Institute Of Mechanical Vehicles, Poland ; 2 Military University of Technology, Institute of Computer Science, Poland

Keyword(s): Neural network, ground vibrations, process of identification

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

Abstract: The paper presents the problem of using neural network for military vehicle classification on the basis of ground vibration. One of the main element of the system is a unit called geophone. This unit allows to measure amplitude of ground vibration in each direction for certain period of time. The value of amplitude is used to fix the characteristic frequencies of each vehicle. If we want to fix the main frequency it is necessary to use Fourier transform. In this case the fast Fourier transform FFT was used. Because the neural network (Radial Basis Function network) was used, the learning set has to be prepared. Please find attached the results of using RBF neural network such as: example of learning, validation and test sets, structure of the networks and learning algorithm, learning and testing results.

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Paper citation in several formats:
Jackowski, J. and Wantoch-Rekowski, R. (2004). WHEELED VEHICLES CLASSIFICATION USING RADIAL BASE FUNCTION NEURAL NETWORK - Intelligent Control Systems and Optimization. In Proceedings of the First International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO; ISBN 972-8865-12-0; ISSN 2184-2809, SciTePress, pages 350-353. DOI: 10.5220/0001136403500353

@conference{icinco04,
author={Jerzy Jackowski. and Roman Wantoch{-}Rekowski.},
title={WHEELED VEHICLES CLASSIFICATION USING RADIAL BASE FUNCTION NEURAL NETWORK - Intelligent Control Systems and Optimization},
booktitle={Proceedings of the First International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO},
year={2004},
pages={350-353},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001136403500353},
isbn={972-8865-12-0},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the First International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO
TI - WHEELED VEHICLES CLASSIFICATION USING RADIAL BASE FUNCTION NEURAL NETWORK - Intelligent Control Systems and Optimization
SN - 972-8865-12-0
IS - 2184-2809
AU - Jackowski, J.
AU - Wantoch-Rekowski, R.
PY - 2004
SP - 350
EP - 353
DO - 10.5220/0001136403500353
PB - SciTePress

- Science and Technology Publications, Lda.
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