An Optimization of Master <i>S</i>-<i>N</i> Curve Fitting Method Based on Improved Neighborhood Rough Set
نویسندگان
چکیده
In this paper, a novel master S-N curve fitting method based on improved neighborhood rough set is proposed. The relationship used to granulate the fatigue information system of aluminum alloy welded joints, and model constructed from perspective. Based conditional entropy, attribute reduction algorithm (NRSBCE) By means algorithm, comprehensive mathematical analysis for life influencing factors established optimization introduced. work, decision joints firstly. key are obtained by NRSBCE subsequently. After that, concept characteristic domain introduced according result algorithm. Then, carried out divided domain. Correspondingly, clusters fitted. Finally, designed developed. system, equations mesh-insensitive structural stress cluster could be both uploading practical test data joints. This work helps further reduce dispersion degree sample thus provide reference design.
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2021
ISSN: ['2169-3536']
DOI: https://doi.org/10.1109/access.2021.3049403