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- W2916943968 abstract "Abstract In this article, a novel approach for solving static structural problems based on Artificial Neural Network (ANN) has been presented. Various numerical methods are available to solve static problems of structures having crisp parameters by converting the problem to algebraic systems. However, sometimes these structures involve uncertainties. In that case, these problems may not be handled by the usual/existing methods. In the present study, uncertainties are considered as fuzzy. As such, one may get fuzzy linear system of equations. In order to handle these type of fuzzy linear systems, the concept of ANN has been developed. Detail procedure with algorithm has been included for solving the titled problems. Here, various example problems have been examined and results have also been compared with the existing ones in special cases." @default.
- W2916943968 created "2019-03-02" @default.
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- W2916943968 date "2019-05-01" @default.
- W2916943968 modified "2023-09-27" @default.
- W2916943968 title "Connectionist model for solving static structural problems with fuzzy parameters" @default.
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- W2916943968 doi "https://doi.org/10.1016/j.asoc.2019.02.025" @default.
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