A neural network approach for railway safety prediction

Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

Volumn 4, Issue , 2004, Pages 3915-3920

  Nefti, S ^a   Oussalah, M ^b  

^a UNIVERSITY OF SALFORD   (United Kingdom)

^b UNIVERSITY OF BIRMINGHAM   (United Kingdom)

Author keywords

Neural network; Railways systems; Safety prediction

Indexed keywords

ALGORITHMS; BACKPROPAGATION; DATA PROCESSING; ERROR DETECTION; MATHEMATICAL MODELS; NEURAL NETWORKS; PARAMETER ESTIMATION; PROBLEM SOLVING; RAILROAD ACCIDENTS; REGRESSION ANALYSIS; WAVELET TRANSFORMS;

NEURAL NETWORKS STRUCTURE; RAILWAY SAFETY; RAILWAYS SYSTEMS; SAFETY PREDICTION;

ACCIDENT PREVENTION;

EID: 15744372838     PISSN: 1062922X     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (18)

1. Albert Nigrin, Neural Networks for Pattern Recognition, MIT Press, Cambridge, Massachusetts, USA, 1993.
2. A. N. Akansu and R. A. Haddad, Multiresolution Signal Decomposition, Academic Press, London NW1 7DX,UK, 1992
3. A. Graps, An Introduction to Wavelets, IEEE Computational Science and Engineering, Summer 1995, Vol. 2, No. 2, pp. 50-61, 1995.
4. A. Boggess and J. Narcowich, A First Course in Wavelets with Fourier Analysis, Prentice Hall, Upper Saddle River New Jersey, 2001.
5. N. Bose and P. Liang, Neural Network Fundamentals Graphs, Algorithms, and Apllications, McGraw-Hill, Singapore, 1996.
6. D. B. Pervival and A. T. Walden, Wavelet Methods for Time Series Analysis, Cambridge University Press, UK, 2000
7. C. Jose et al, Neural and Adaptive Systems: Fundamentals Through Simulations, John Wiley & Sons, New York, USA, 1999.
8. K. Gurney, An Introduction to Neural Networks, Routledge, London, UK, 1997
9. S. Y. Kung, Digital Neural Networks, Prentice-Hall, Inc. Englewood Cliffs, New Jersey,USA, 1993
10. A. K. Louis et al., Wavelets Theory and Applications, John Wiley & Sons Ltd, West Sussex, England, 1997
11. F. Mayoraz and L. Vulliet, Neural Networks for Slope Movement Prediction, The International Journal of Geomechanics, Vol 2, No 2,153-173 (2002).
12. R. Neill, Temporal Self-Organization for Neural Networks, PhD Dissertation, University of Florida, 1998.
13. J. C. Principe et al., Neural and Adaptive Systems: Fundamentals through Simulation, John Wiley & Sons, New York, USA, 1999
14. M. W. Sholom and C. A. Kulikowski, Computer Systems That Learn, Morgan Kaufmann Publishers, Inc. SanMateo, California, USA, 1991
15. S. Haykin, Neural Networks a Comprehensive Foundation, Prentice Hall, Upper Saddle River New Jersey, 1999
16. Sontag, E.D., Feedback stabilization using two-hidden-layer nets, IEEE Transactions on Neural Networks, 3, 981-990, 1992
17. T. W. S Chow and O. Shuai, Feedforward neural networks based input-output models for railway system identification, Neural processing letters, Vol 5, No. 2, April 1997, pp.127-137.
18. F. Zahedi, Intelligent Systems for Business: Expert Systemes with Neural Networks, Wadsworth, Inc. Belmont, California, USA, 1993