Neural Network models predict raveling and analyse material/construction properties

Proceedings of the IASTED International Conference on Intelligent Systems and Control

Volumn , Issue , 2004, Pages 346-351

  Miradi, Maryam ^a  

^a DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

Analysis; Artificial Neural Network (ANN); Models; Porous asphalt top layers; Prediction; Raveling

Indexed keywords

BUILDING MATERIALS; COMPACTION; DATABASE SYSTEMS; LINEAR SYSTEMS; MATHEMATICAL MODELS; NEURAL NETWORKS;

LINEAR MODELS; POROUS ASPHALT TOP LAYERS; SPRAY SUPPRESSION;

DATA PROCESSING;

EID: 10444221815     PISSN: 10258973     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. M. Minsky & S. Papert, Perceptron (Cambridge: MIT Press, 1969).
2. J.J. Hopfield & D.W. Tank, Neural Computation of Decisions in Optimization Problems, Biological Cybernetics 52, 1985, 141-152.
3. F. Rosenblatt, Principles of Neurodynamics (New York: Spartan Books, 1959).
4. J.L. McClelland & D.E. Rumelhart & G.E. Hinton, The appeal of parallel distributed processing In D.E. Rumelhart and J.L. McClelland, editors, Parallel Distributed Processing: Explorations in the Microstructure of Cognition volume 1, MIT Press, 1986.
5. V. Dhar & R. Stein, Seven methods for transforming corporate data into business intelligence (Prentice Hall, 1997).
6. Neural Network Modelling for Windows 95/98/2000/XP (Winnetka, USA: Qnet 2000, 2003).
7. Tire/Road Noise Generation and Porous Surfaces, Noise & Traffic, International Commission on Biological Effects of Noise, 2001.
8. C.E.G. Egyed & G. van der Hoek & M.M. Willemsen, ZOAB kosten versus Levensduur, TU Delft, Delft, The Netherlands, 2003.
9. Modellen voor Wegbeheer (CROW, Ede, The Netherlands: Eindrapport SHRP-NL, Publicatie 169, 2002).
10. N. Verra & M. van den Bol & G. Gaarkeuken, De Levensduur van ZOAB, Dienst Weg- en Waterbouwkunde Rijkswaterstaat, Delft, The Netherlands, 2003.