Development of seismic demand prediction models for bridges based on probability approach using symbolic regression method

Research article (Computers & Structures, 2023) · cited 21× · AI/ML
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Development of seismic demand prediction models for bridges based on probability approach using symbolic regression method

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Development of seismic demand prediction models for bridges based on probability approach using symbolic regression method is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Development of seismic demand prediction models for bridges based on probability approach using symbolic regression method. Retrieved May 24, 2026, from https://4ort.xyz/entity/development-of-seismic-demand-prediction-models-for-bridges-based-on-probability-approach-using-symbolic-regression-meth
MLA “Development of seismic demand prediction models for bridges based on probability approach using symbolic regression method.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/development-of-seismic-demand-prediction-models-for-bridges-based-on-probability-approach-using-symbolic-regression-meth.
BibTeX @misc{4ortxyz_development-of-seismic-demand-prediction-models-for-bridges-based-on-probability-approach-using-symbolic-regression-meth_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Development of seismic demand prediction models for bridges based on probability approach using symbolic regression method}}, year = {2026}, url = {https://4ort.xyz/entity/development-of-seismic-demand-prediction-models-for-bridges-based-on-probability-approach-using-symbolic-regression-meth}, note = {Accessed: 2026-05-24}}
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