• Bulletin of the Chinese Ceramic Society
  • Vol. 42, Issue 7, 2392 (2023)
DUAN Meiling1,*, ZHANG Dan2, YUAN Jinhu3, SUN Aijun4, and QIANG Sheng1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
  • 4[in Chinese]
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    DOI: Cite this Article
    DUAN Meiling, ZHANG Dan, YUAN Jinhu, SUN Aijun, QIANG Sheng. Prediction of Compressive Strength of Concrete Based on ISSA-GRU[J]. Bulletin of the Chinese Ceramic Society, 2023, 42(7): 2392 Copy Citation Text show less
    References

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    [12] CHEN H G, LI X, WU Y Q, et al. Compressive strength prediction of high-strength concrete using long short-term memory and machine learning algorithms[J]. Buildings, 2022, 12(3): 302.

    [14] RANJBAR I, TOUFIGH V, BOROUSHAKI M. A combination of deep learning and genetic algorithm for predicting the compressive strength of high-performance concrete[J]. Structural Concrete, 2022, 23(4): 2405-2418.

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    [24] DUA D, GRAFF C. UCI machine learning repository[DB/OL]. (2020-07-22) [2020-08-03]. http: //archive.ics.uci.edu/ml.

    [28] LI Q F, SONG Z M. High-performance concrete strength prediction based on ensemble learning[J]. Construction and Building Materials, 2022, 324: 126694.

    [29] MOON S, MUNIRA C A. Utilization of prior information in neural network training for improving 28-day concrete strength prediction[J]. Journal of Construction Engineering and Management, 2021, 147(5): 04021028.

    [30] FENG D C, LIU Z T, WANG X D, et al. Machine learning-based compressive strength prediction for concrete: an adaptive boosting approach[J]. Construction and Building Materials, 2020, 230: 117000.

    DUAN Meiling, ZHANG Dan, YUAN Jinhu, SUN Aijun, QIANG Sheng. Prediction of Compressive Strength of Concrete Based on ISSA-GRU[J]. Bulletin of the Chinese Ceramic Society, 2023, 42(7): 2392
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