Contact state analysis using NFIS and SOM
Neural and Evolutionary Computing
2008-05-09 v1 Artificial Intelligence
Abstract
This 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.
Cite
@article{arxiv.0805.1153,
title = {Contact state analysis using NFIS and SOM},
author = {H. Owladeghaffari},
journal= {arXiv preprint arXiv:0805.1153},
year = {2008}
}
Comments
Proc. International Symposium on Computational Mechanics (ISCM2007), Yao ZH & Yuan MW (eds.), Beijing: Tsinghua University Press & Springer, July 30-August 1, 2007, Beijing, China,