ARTIFICIAL NEURAL NETWORK FOR ENHANCING SELECTION OF PAVEMENT MAINTENANCE STRATEGY

@inproceedings{Abdelrahim2000ARTIFICIALNN,
  title={ARTIFICIAL NEURAL NETWORK FOR ENHANCING SELECTION OF PAVEMENT MAINTENANCE STRATEGY},
  author={Ashraf M. Abdelrahim and Kalankamary P. George},
  year={2000}
}
In the selection of an economical treatment for rehabilitation of a deteriorated pavement section, decision makers usually encounter various situations. Factors affecting selection of a flexible pavement maintenance strategy may include distress conditions, traffic volume, and road class, among others. Traditionally engineers make their selection on the basis of their experience and judgment and past maintenance data. Experts' judgments are usually compromised in a group discussion to construct… CONTINUE READING

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