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使用基于ANN和ANN生物地理的优化模型预测大容量飞灰滚筒压缩混凝土的压力和裂纹抗拉强度

Murteda Unverdi1, Ramin Kazemi2, Yahya Kaya1

  • 1Civil Engineering Department, Bursa Uludag University, Bursa, Turkey.

Scientific reports
|July 2, 2025
PubMed
概括

人工智能 (AI) 模型,包括ANN-BBO,准确地预测滚筒紧混凝土 (RCC) 的机械性能,如压力强度 (CS) 和裂强度 (STS). 这种人工智能方法降低了实验成本,并提高了可持续的混凝土生产.

关键词:
人工智能的人工智能是人工智能.压力强度的压力强度是什么飞行灰的飞行灰优化技术的优化技术滚筒压缩混凝土混凝土的滚筒压缩混凝土分裂拉力强度的拉力强度.

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