Reverse designs of doubly reinforced concrete beams using Gaussian process regression models enhanced by sequence training/designing technique based on feature selection algorithms

Reverse designs of doubly reinforced concrete beams using Gaussian process regression models enhanced by sequence training/designing technique based on feature selection algorithms

The present paper introduces a practical and convenient artificial intelligence-based design approach for doubly reinforced concrete (RC) beams. Completed designs are automatically obtained from regression models and back-substitution (BS) procedures, which satisfy the preassigned flexural strength,...

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Bibliographic Details
Main Authors: Won-Kee Hong, Tien Dat Pham
Format: Article
Language:English
Published: Taylor & Francis Group 2022-11-01
Series:Journal of Asian Architecture and Building Engineering
Subjects:
reverse design
doubly rc beam
gaussian process regression
feature selection
neighborhood component analysis
crs
Online Access:http://dx.doi.org/10.1080/13467581.2021.1971999

Internet

http://dx.doi.org/10.1080/13467581.2021.1971999

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