Contact state analysis using NFIS and SOM

dc.creatorOwladeghaffari, H.
dc.date2008-05-08
dc.date.accessioned2026-07-07T09:37:44Z
dc.date.available2026-07-07T09:37:44Z
dc.descriptionThis paper reports application of neuro- fuzzy inference system (NFIS) and self organizing feature map neural networks (SOM) on detection of contact state in a block system. In this manner, on a simple system, the evolution of contact states, by parallelization of DDA, has been investigated. So, a comparison between NFIS and SOM results has been presented. The results show applicability of the proposed methods, by different accuracy, on detection of contact's distribution.
dc.descriptionProc. International Symposium on Computational Mechanics (ISCM2007), Yao ZH & Yuan MW (eds.), Beijing: Tsinghua University Press & Springer, July 30-August 1, 2007, Beijing, China,
dc.identifierhttps://arxiv.org/abs/0805.1153
dc.identifierhttp://arxiv.org/abs/0805.1153
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/160566
dc.subjectNeural and Evolutionary Computing
dc.subjectArtificial Intelligence
dc.subjectF.4.1
dc.titleContact state analysis using NFIS and SOM
dc.typetext

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