Using multi layer perceptron network to classify road cracks

WSEAS Transactions on Systems

Volumn 4, Issue 4, 2005, Pages 355-358

  Shandiz, Heydar Toossian ^a   Tehrani, Hosein Ghasemzadeh ^a   Hadizadeh, Hadi ^a  

^a SHAHROOD UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Multi layer percepetron; Pattern recognition; Road crack

Indexed keywords

ASPHALT PAVEMENTS; BACKPROPAGATION; CRACKS; LEARNING SYSTEMS; PATTERN RECOGNITION; ROADS AND STREETS;

CRACK CLASSIFICATION; ROAD CRACKS;

MULTILAYER NEURAL NETWORKS;

EID: 21844461043     PISSN: 11092777     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (7)

1. H. D. Cheng et all, Novel Approach to Pavement Cracking Detection Based on Fuzzy Set Theory, Journal of computing in civil Engineering, October 1999.
2. D. Kaur and D. Tekkedil, Fuzzy Expert System for Asphalt Pavement Performance Prediction, IEEE Intelligent transportation systems Conference Proceedings, 1-3 October 2000.
3. K. Sarabandi and E. S. Li, Polarimetric Characterization of Debris and Faults in the Highway Environment at Millimeter Wave Frequencies, IEEE Transactions on Antennas and Propagation, Vol, 48, No. 11, November 2000.
4. A C. Heath et all, Modeling Longitudinal, corner and Transverse Cracking in Joint Concrete Pavemevts, International Journals of Pavement Engineering, Vol. 4 (1), March 2003.
5. C. J. Chao and F. P. Cheng, Fuzzy Pattern Recognition Model for Diagnosing Cracks in RC Strutures, Journal of computing in civil Engineering, Vol. 12, No. 2, April 1998.
6. N. K. Kasabov, Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering, MIT Press, Second Printing 1998.
7. Y. Liu et all, Inspection of Defects in Optical Fibers Based on Back Propagation Neural networks, Elsevier Journal of Optics Communications, Vol. 198, November 2001.