Title :
Managing risk in civil engineering by machine learning from failures
Author :
Stone, J.R. ; Blockley, D.I. ; Pilsworth, B.W.
Author_Institution :
Bristol Univ., UK
Abstract :
Many failures which occur in engineering can be shown to have developed though similar patterns. Machine learning using discrimination and connectivity can be used to determine these common patterns of events, and hence to build a knowledge base against which new projects may be compared. Support logic measures of uncertainty are associated with the knowledge-base concepts, and a measure of similarity is introduced
Keywords :
civil engineering computing; knowledge based systems; civil engineering; connectivity; discrimination; failure-based learning; knowledge base; machine learning; risk management; support logic measures; Civil engineering; Dictionaries; Electrostatic discharge; Engineering management; History; Logic; Machine learning; Measurement uncertainty; Project management; Risk management;
Conference_Titel :
Uncertainty Modeling and Analysis, 1990. Proceedings., First International Symposium on
Conference_Location :
College Park, MD
Print_ISBN :
0-8186-2107-9
DOI :
10.1109/ISUMA.1990.151259
