A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Bayesian Belief Networks for Diagnosing Asphalt Paving Construction Problems
The construction of a knowledge-based Bayesian belief network to provide decision support for asphalt paving construction. The HUGIN software was employed to develop the system. The model consists of three layers of nodes. The top layer consists of nodes describing observable asphalt paving problems and the bottom layer consists of problem diagnoses and corrective actions. Through a user interface, model users can input observed problems by changing probabilities in the network. The changes are propagated through the network, and users can observe changes in the diagnoses probabilities.
Bayesian Belief Networks for Diagnosing Asphalt Paving Construction Problems
The construction of a knowledge-based Bayesian belief network to provide decision support for asphalt paving construction. The HUGIN software was employed to develop the system. The model consists of three layers of nodes. The top layer consists of nodes describing observable asphalt paving problems and the bottom layer consists of problem diagnoses and corrective actions. Through a user interface, model users can input observed problems by changing probabilities in the network. The changes are propagated through the network, and users can observe changes in the diagnoses probabilities.
Bayesian Belief Networks for Diagnosing Asphalt Paving Construction Problems
Williams, Trefor P. (author)
Construction Congress VI ; 2000 ; Orlando, Florida, United States
Construction Congress VI ; 41-48
2000-02-14
Conference paper
Electronic Resource
English
Bayesian Belief Networks for Diagnosing Asphalt Paving Construction Problems
| British Library Conference Proceedings | 2000
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