Combining use of rough set and artificial neural networks in doweled-pavement-performance modeling - A hybrid approach

Journal of Transportation Engineering

Volumn 128, Issue 3, 2002, Pages 270-275

  Attoh Okine, Nii O ^a  

^a UNIVERSITY OF DELAWARE   (United States)

Author keywords

Concrete pavements; Hybrid methods; Neural networks; Performance

Indexed keywords

CONCRETES; CONSTRUCTION; DATABASE SYSTEMS; DECISION TABLES; NEURAL NETWORKS; PAVEMENTS; PERFORMANCE;

PERFORMANCE MODELLING;

TRANSPORTATION;

CONCRETE;

PAVEMENT;

ANALYTIC METHOD; ARTIFICIAL NEURAL NETWORK; DATA BASE; MODEL; ROUGH SET ANALYSIS; THEORY;

EID: 0036571078     PISSN: 0733947X     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)0733-947X(2002)128:3(270)     Document Type: Article

References (31)

1. The integrated methodology of rough set theory and artificial neural network for business failure prediction
2. Discovering rules for water demand prediction: An enhanced rough set approach
3. Factors affecting performance of concrete pavements
4. The effect of dowels on the performance of concrete pavements in Kansas
5. Predicting roughness progression in flexible pavements using artificial neural networks
6. Rough set application to data mining principles in pavement management database
7. Analysis of learning rate and momentum term in backpropagation neural network algorithm trained to predict pavement performance
8. Grouping pavement condition variables for performance modeling using self-organizing maps
9. The pavement serviceability-performance concept
10. Field-calibrated mechanistic models for jointed pavement
11. Priority rating of highway maintenance need by neural networks
12. POS distress level probability prediction in PMS using ANNs
13. Control of faulting through joint load transfer design
14. Rough set reduction of attributes and their domains for neural nets
15. Chapter 21: Properties of incomplete information systems in the framework of rough sets
16. Rules in incomplete information systems
17. Performance history and prediction modeling for Minnesota pavements
18. Toward generating neural network structures for function approximation
19. Investigation of the relationship between deterministic and probabilistic prediction models in pavement management
20. A comparative analysis of two artificial neural networks using pavement performance prediction
21. Sensitivity analyses for selected pavement distresses
22. Extracting laws from decision tables
23. Design procedure for dowel load-transfer systems for full-depth repair joints
24. Rough set methods for constructing artificial neural networks
25. Automated extraction of medical expert systems rules from clinical databases based on rough set theory
26. Prediction of faulting of joints in concrete pavements