Advanced Machine Learning Modeling Approach for Prediction of Compressive Strength of FRP Confined Concrete Using Multiphysics Genetic Expression Programming

Research article (Polymers, 2022) · cited 56× · AI/ML
Press Enter · cited answer in seconds

Advanced Machine Learning Modeling Approach for Prediction of Compressive Strength of FRP Confined Concrete Using Multiphysics Genetic Expression Programming

Summary

Advanced Machine Learning Modeling Approach for Prediction of Compressive Strength of FRP Confined Concrete Using Multiphysics Genetic Expression Programming is a scholarly article[1].

Key Facts

  • Advanced Machine Learning Modeling Approach for Prediction of Compressive Strength of FRP Confined Concrete Using Multiphysics Genetic Expression Programming's instance of is recorded as scholarly article[2].

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Advanced Machine Learning Modeling Approach for Prediction of Compressive Strength of FRP Confined Concrete Using Multiphysics Genetic Expression Programming. Retrieved May 24, 2026, from https://4ort.xyz/entity/advanced-machine-learning-modeling-approach-for-prediction-of-compressive-strength-of-frp-confined-concrete-using-multip
MLA “Advanced Machine Learning Modeling Approach for Prediction of Compressive Strength of FRP Confined Concrete Using Multiphysics Genetic Expression Programming.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/advanced-machine-learning-modeling-approach-for-prediction-of-compressive-strength-of-frp-confined-concrete-using-multip.
BibTeX @misc{4ortxyz_advanced-machine-learning-modeling-approach-for-prediction-of-compressive-strength-of-frp-confined-concrete-using-multip_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Advanced Machine Learning Modeling Approach for Prediction of Compressive Strength of FRP Confined Concrete Using Multiphysics Genetic Expression Programming}}, year = {2026}, url = {https://4ort.xyz/entity/advanced-machine-learning-modeling-approach-for-prediction-of-compressive-strength-of-frp-confined-concrete-using-multip}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Advanced Machine Learning Modeling Approach for Prediction of Compressive Strength of FRP Confined Concrete Using Multiphysics Genetic Expression Programming — https://4ort.xyz/entity/advanced-machine-learning-modeling-approach-for-prediction-of-compressive-strength-of-frp-confined-concrete-using-multip (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/advanced-machine-learning-modeling-approach-for-prediction-of-compressive-strength-of-frp-confined-concrete-using-multip · Last refreshed: