A methodology for comparing soils for use in knowledge-based systems

Toll, D. G.; Vaptismas, N.; Moula, M.

doi:10.1016/0956-0521(93)90055-2

Cited by 4 publications

(2 citation statements)

References 5 publications

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“…The use of fuzzy logic becomes an obvious next step. Indeed, Vaptismas [18] and Toll et al [17] describe a methodology whereby the similarity of two soils can be calculated based on engineering soil descriptions. This is an extensive program in its own right but if it, or some of the methods employed, could be incorporated into SlopeSafe this would add another level of sophistication and improve matching.…”

Section: Discussionmentioning

confidence: 99%

Case-based system for slope design

Fyson¹,

Toll²

2008

Computers and Geotechnics

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Section: Discussionmentioning

confidence: 99%

Case-based system for slope design

Fyson¹,

Toll²

2008

Computers and Geotechnics

Self Cite

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“…For the purposes of the example described here, the matching was done manually. However, Toll et al (1993) describe a method of assigning a similarity measure to pairs of soil descriptions. Such a measure can provide input to a clustering algorithm to encode the strata in all the boreholes on a site for input to the grammatical inference program.…”

Section: Examplementioning

confidence: 99%

Grammatical Inference Techniques and Their Application in Ground Investigation

Morrey

Oram

Cooper

et al. 2007

Computer aided Civil Eng

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Ground investigations often use trial pits and borehole cores on construction sites to determine the strata likely to be encountered at various depths. The data obtained from trial pits can be coded into a form that can be used as sample observations for input to a grammatical inference machine. A grammatical inference machine is a black box, which when presented with a sample of observations of some unknown source language, produces a grammar which is compatible with the sample. This article presents a heuristic model for a grammatical inference machine, which takes as data sentences and non-sentences identified as such, and is capable of inferring grammars in the class of context-free grammars expressed in Chomsky Normal Form. An algorithm and its corresponding software implementation have been developed based on this model. The software takes, as input, coded representations of ground investigation data, and produces as output a grammar which describes and classifies the geotechnical data observed in the area, and also promises the possibility of being able to predict the likely configuration of strata across the site.

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Soil Laboratory Data Interpretation Using Generalized Regression Neural Network

Goh

1999

Civil Engineering and Environmental Systems

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A methodology for comparing soils for use in knowledge-based systems

Cited by 4 publications

References 5 publications

Case-based system for slope design

Case-based system for slope design

Grammatical Inference Techniques and Their Application in Ground Investigation

Soil Laboratory Data Interpretation Using Generalized Regression Neural Network

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