Using artificial neural networks to predict vehicle acceleration and yaw angles

ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age

Volumn 4, Issue , 2002, Pages 1915-1919

  Karri, V ^a   Butler, D ^a  

^a UNIVERSITY OF TASMANIA   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CONTROLLERS; FORECASTING; INFORMATION SCIENCE; NEURAL NETWORKS; VEHICLES;

CONTROL PARAMETERS; DRIVING CONDITIONS; GENERAL REGRESSION NEURAL NETWORK; LONGITUDINAL ACCELERATION; TESTING CONDITIONS; VEHICLE ACCELERATION; VEHICLE DYNAMICS CONTROL SYSTEM; VEHICLE PARAMETERS;

NETWORK ARCHITECTURE;

EID: 84966350050     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICONIP.2002.1199007     Document Type: Conference Paper

References (17)

1. "Artificial Neural Networks Technology", www.dacs.dtic.mil/techs/neural.
2. C. M. Atkinson, "Virtual Sensing: a Neural Network-based Intelligent Performance and Emissions Prediction System of On-Board Diagnostics and Engine Control", Society of Automotive Engineers.
3. C. Alippi, C. De Russis and V. Piuri, "A Fine Control of the Air-to-Fuel Ratio with Recurrent Neural Networks", Instrumentation and Measurement Technology Conference, IEEE, 1988.
4. R. Hecht-Nielsen, Neurocomputing, University of California, Addison-Wesley Publishing, 1989.
5. K. Jayakumar, K. V. Rajaram and M. A. Faruqi, "Machine Intelligence for Crisis Handling in Navigation Vehicles using Neuro-Controllers", 6th International Conference on Neural Information Processing, Institute of Electrical and Electronics Engineers, 1999.
6. Caudill, M. and Butler, C., Naturally Intelligent Systems, Massachusetts Institute of Technology, 1990.
7. Caudill, M. and Butler, C., Understanding Neural Networks - Computer Explorations, vol. 1, Massachusetts Institute of Technology, 1992
8. Hertz, J., Krogh, A. and Palmer, R. G., Introduction to the Theory of Neural Computing, Addison-Wesley Publishing Company, 1991.
9. Zurada, J. M., Introduction to Artificial Neural Systems, West Publishing Company, 1992.
10. Specht, D. F., "General Regression Neural Networks", Institute of Electrical and Electronic Engineers Transactions on Neural Networks, vol. 2, no. 6, Nov. 1991, pp. 568-576.
11. Masters T., Advanced Algorithms for Neural Networks: A C++ Sourcebook, John Wiley and Sons, 1995.
12. Shaffer R., "General Regression Neural Networks",http://cheml.nrl.navy/~shatter/grnn.html, 1998.
13. Sarle W., "FAQ for comp.ai.neural-net, What is a GRNN?", part2, ftp://ftp.sas.com/pub/neural/FAQ.html, 1997.
14. H. Bauer, "ESP Electronic Stability Program", Technical Instruction, Robert Bosch GmbH, 1999.
15. H. Bauer, Driving Safety Systems, Robert Bosch GmbH, Society of Automotive Engineers, 1999.
16. R. K. Jurgen, Automotive Electronics Handbook, 2nd Edition, Society of Automotive Engineers, 1999.
17. R. Neben, Sensor Fusion as a Means to Identify Dynamical Behaviour on a Race Car, University of Tasmania, 2001.