Enhancing neural network traffic incident-detection algorithms using wavelets

Computer-Aided Civil and Infrastructure Engineering

Volumn 16, Issue 4, 2001, Pages 239-245

  Samant, A ^a   Adeli, H ^a  

^a OHIO STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE ALGORITHMS; CONVERGENCE OF NUMERICAL METHODS; FUZZY SETS; LEARNING ALGORITHMS; NEURAL NETWORKS; WAVELET TRANSFORMS;

DISCRETE WAVELET TRANSFORMS (DWT); FREEWAY TRAFFIC INCIDENT-DETECTION ALGORITHMS;

HIGHWAY TRAFFIC CONTROL;

ACCIDENT INVESTIGATION;

EID: 0035400597     PISSN: 10939687     EISSN: None     Source Type: Journal    
DOI: 10.1111/0885-9507.00229     Document Type: Article

References (12)

1. An adaptive conjugate gradient algorithm for efficient training of neural networks
2. Application of fuzzy logic and neural networks to automatically detect free-way traffic incidents
3. Fuzzy logic in control systems: Fuzzy logic controller parts I and II
4. Learning internal representation by error propagation
5. Feature extraction for traffic incident detection using wavelet transform and linear discriminant analysis
6. Fuzzy set as a basis for a theory of possibility