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Managing risk in civil engineering by machine learning from failures

Stone, J.R. / Blockley, D.I. / Pilsworth, B.W.

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.

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Managing risk in civil engineering by machine learning from failures

Stone, J.R. / Blockley, D.I. / Pilsworth, B.W.

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.

Managing risk in civil engineering by machine learning from failures

Stone, J.R. / Blockley, D.I. / Pilsworth, B.W.

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.

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Title:

Managing risk in civil engineering by machine learning from failures

Additional title:

Behandlung von Risiken im Bauwesen durch maschinelles Lernen von Fehlern

Contributors:

Stone, J.R. (author) / Blockley, D.I. (author) / Pilsworth, B.W. (author)

Published in:

Proceedings. First International Symposium on Uncertainty Modeling and Analysis ; 255-259

Publication date:

1991

Size:

5 Seiten, 8 Quellen

ISBN:

DOI:

https://doi.org/10.1109/ISUMA.1990.151259

Type of media:

Conference paper

Type of material:

Print

Language:

English

Keywords:

FEHLERERKENNUNG , LERNENDER AUTOMAT , LERNEN , RISIKO , STOCHASTIK , MATHEMATISCHE LOGIK , EXPERTENSYSTEM , CONNECTIVITY , WISSENSBANK , RISK MANAGEMENT

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