WHEELED VEHICLES CLASSIFICATION USING RADIAL BASE FUNCTION NEURAL NETWORK - Intelligent Control Systems and Optimization

Jerzy Jackowski, Roman Wantoch-Rekowski

2004

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.

References

  1. Jackowski, J., 2002. Ground vibrations resulted by vehicle motion. Biuletyn WAT 11/2002.
  2. Jackowski, J., Jakubowski, J., 2002. Analysis of differentiation possibilities of ground vibrations resulted by the vehicle motion. Biuletyn WAT 11/2002
  3. Hertz, J., Krogh, A., Palmer, R., 1991. Introduction to the Theory of Neural Computation. Addison-Wesley Pub. Amsterdam.
  4. Osowski, S., 1996. Neural Networks. WNT. Warsaw.
  5. Rutkowska, D., Pilinski, M., Rutkowski, L., 1997. Neural Networks, Genetic Algorithm and Fuzzy Systems, PWN. Warsaw- Lodz.
  6. Swiatnicki, Z., Wantoch-Rekowski, R., 1999. Neural Networks; Introduction, Bellona. Warsaw.
  7. Wantoch-Rekowski, R., 1994. Structure of Neural Network Using in Classification Process (in Polish). Proceedings of Symposium ”Neural Network and their Applications”. Kule.
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Paper Citation


in Harvard Style

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, pages 350-353. DOI: 10.5220/0001136403500353


in Bibtex Style

@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},
}


in EndNote Style

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
AU - Jackowski J.
AU - Wantoch-Rekowski R.
PY - 2004
SP - 350
EP - 353
DO - 10.5220/0001136403500353