ОПТИМІЗАЦІЯ ПАРАМЕТРІВ МОДЕЛІ ПРОГНОЗУВАННЯ МІЦНОСТІ БЕТОНУ ШЛЯХОМ НАВЧАННЯ ТА ТЕСТУВАННЯ

Authors

  • Yu. S. Biks Vinnytsia National Technical University

Abstract

Predicted concrete strength’s model optimization based on fuzzy logic, with model training has been offered in the “MATLAB” environment. Model training was performed by adjusting the concentration ratios of components’ membership functions and weighting rules of each knowledge base. Obtained discrepancy values of training data set show sufficient sensitivity of concrete strength prediction model to study.

Author Biography

Yu. S. Biks, Vinnytsia National Technical University

Postgraduate Department of City Planning and Architecture

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How to Cite

[1]
Y. S. Biks, “ОПТИМІЗАЦІЯ ПАРАМЕТРІВ МОДЕЛІ ПРОГНОЗУВАННЯ МІЦНОСТІ БЕТОНУ ШЛЯХОМ НАВЧАННЯ ТА ТЕСТУВАННЯ”, СучТехнБудів, vol. 11, no. 2, pp. 40–44, Dec. 2011.

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Section

BUILDING MATERIALS AND PRODUCTS

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