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Information Journal Paper

Title

GENETIC AND SVD DESIGN OF FUZZY SYSTEMS FOR THE MODELLING AND PREDICTION OF PROCESS PARAMETERS OF EXPLOSIVE CUTTING PROCESS

Pages

  76-88

Abstract

 Genetic Algorithm (GA) and Singular Value Decomposition (SVD) are deployed for optimal domains selection of antecedents and consequents, respectively, of associated fuzzy sets in FUZZY SYSTEMS which are used for modelling of EXPLOSIVE CUTTING PROCESS of plates by shaped charges. The aim of such modelling is to show how the depth of penetration varies with the variation of important parameters namely, apex angle, standoff, liner thickness, and mass of charge. !t is demonstrated that SVD can be effectively used to fine tuning of such fuzzy models obtained either from direct matching method or designed by GA method. Such application of SVD will highly improve the performance of genetically designed FUZZY SYSTEMS to model the very complex process of explosive cutting of plates by shaped charges.

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  • Cite

    APA: Copy

    DARVIZEH, A., NARIMANZADEH, N., & OULIAEI, F.. (2003). GENETIC AND SVD DESIGN OF FUZZY SYSTEMS FOR THE MODELLING AND PREDICTION OF PROCESS PARAMETERS OF EXPLOSIVE CUTTING PROCESS. MODARES TECHNICAL AND ENGINEERING, -(12), 76-88. SID. https://sid.ir/paper/529652/en

    Vancouver: Copy

    DARVIZEH A., NARIMANZADEH N., OULIAEI F.. GENETIC AND SVD DESIGN OF FUZZY SYSTEMS FOR THE MODELLING AND PREDICTION OF PROCESS PARAMETERS OF EXPLOSIVE CUTTING PROCESS. MODARES TECHNICAL AND ENGINEERING[Internet]. 2003;-(12):76-88. Available from: https://sid.ir/paper/529652/en

    IEEE: Copy

    A. DARVIZEH, N. NARIMANZADEH, and F. OULIAEI, “GENETIC AND SVD DESIGN OF FUZZY SYSTEMS FOR THE MODELLING AND PREDICTION OF PROCESS PARAMETERS OF EXPLOSIVE CUTTING PROCESS,” MODARES TECHNICAL AND ENGINEERING, vol. -, no. 12, pp. 76–88, 2003, [Online]. Available: https://sid.ir/paper/529652/en

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