A comprehensive comparison of different regression techniques and nature-inspired optimization algorithms to predict carbonation depth of recycled aggregate concrete

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Front. Struct. Civ. Eng. ›› 2024, Vol. 18 ›› Issue (1) : 30-50. DOI: 10.1007/s11709-024-1041-y
RESEARCH ARTICLE

A comprehensive comparison of different regression techniques and nature-inspired optimization algorithms to predict carbonation depth of recycled aggregate concrete

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{{article.zuoZheEn_L}}. {{article.titleEn}}. Front. Struct. Civ. Eng., 2024, 18(1): 30‒50 https://doi.org/10.1007/s11709-024-1041-y

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