Hierarchical structuring of knowledge based system for flownet design

Kalkani, EC

dc.contributor.author	Kalkani, EC	en
dc.date.accessioned	2014-03-01T02:48:20Z
dc.date.available	2014-03-01T02:48:20Z
dc.date.issued	1995	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/33737
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-0029458077&partnerID=40&md5=87b322fabf571369c6fccdcb99761981	en
dc.subject.other	Computer aided design	en
dc.subject.other	Decision making	en
dc.subject.other	Embankment dams	en
dc.subject.other	Flow of fluids	en
dc.subject.other	Foundations	en
dc.subject.other	Hierarchical systems	en
dc.subject.other	Inference engines	en
dc.subject.other	Mechanical permeability	en
dc.subject.other	Seepage	en
dc.subject.other	Flownet design	en
dc.subject.other	Hierarchical structuring	en
dc.subject.other	Meta knowledge system	en
dc.subject.other	Knowledge based systems	en
dc.title	Hierarchical structuring of knowledge based system for flownet design	en
heal.type	conferenceItem	en
heal.publicationDate	1995	en
heal.abstract	The hierarchical structuring of a knowledge based system for flownet design is presented. The inference system is composed of certain groups of subordinate knowledge based systems, each of which deals with a partial issue of the flownet design for earth dams on alluvial foundation under steady state flow conditions. According to the subordinate systems, different outputs are produced based on different information on permeability distribution. The meta-knowledge system produces a final conclusion with regard to these outputs. This structuring enables the engineer to use successfully incomplete knowledge on permeabilities for decision making in flownet design.	en
heal.publisher	Computational Mechanics Inc, Billerica, MA, United States	en
heal.journalName	Applications of Artificial Intelligence in Engineering	en
dc.identifier.spage	377	en
dc.identifier.epage	384	en