Contact state analysis using NFIS and SOM

Computer Science – Neural and Evolutionary Computing

Scientific paper

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Proc. International Symposium on Computational Mechanics (ISCM2007), Yao ZH & Yuan MW (eds.), Beijing: Tsinghua University Pre

Scientific paper

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.

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