Artificial Neural Network methodology for the estimation of ground resistance

Asimakopoulou, FE; Kourni, EA; Kontargyri, VT; Tsekouras, GJ; Stathopulos, IA

dc.contributor.author	Asimakopoulou, FE	en
dc.contributor.author	Kourni, EA	en
dc.contributor.author	Kontargyri, VT	en
dc.contributor.author	Tsekouras, GJ	en
dc.contributor.author	Stathopulos, IA	en
dc.date.accessioned	2014-03-01T02:52:53Z
dc.date.available	2014-03-01T02:52:53Z
dc.date.issued	2011	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/36133
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-82955164946&partnerID=40&md5=04d31a96db4b80c2e83df40e651e4549	en
dc.subject	Artificial Neural Network (ANN)	en
dc.subject	Back propagation algorithm	en
dc.subject	Ground resistance	en
dc.subject	Soil resistivity measurements	en
dc.subject.other	Artificial Neural Network	en
dc.subject.other	Correlation index	en
dc.subject.other	Ground resistance	en
dc.subject.other	Optimization procedures	en
dc.subject.other	Soil resistivity	en
dc.subject.other	Soil resistivity measurements	en
dc.subject.other	Training algorithms	en
dc.subject.other	Algorithms	en
dc.subject.other	Soil surveys	en
dc.subject.other	Systems science	en
dc.subject.other	Neural networks	en
dc.title	Artificial Neural Network methodology for the estimation of ground resistance	en
heal.type	conferenceItem	en
heal.publicationDate	2011	en
heal.abstract	Aim of this paper is the estimation of the variation of ground resistance throughout the year by using Artificial Neural Networks. Based on measurements of soil resistivity, temperature, and rainfall during a period of time, various algorithms for training Artificial Neural Networks have been tested regarding their ability to predict the ground resistance. In order for the parameters of each training algorithm to be selected; an optimization procedure has been followed. The effectiveness of the Artificial Neural Network is proved through the high correlation index between the estimated and the measured values of the ground resistance.	en
heal.journalName	Recent Researches in System Science - Proceedings of the 15th WSEAS International Conference on Systems, Part of the 15th WSEAS CSCC Multiconference	en
dc.identifier.spage	453	en
dc.identifier.epage	458	en