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Application of Random Forest and Multi-layer Perceptron ANNS in Estimating the Axial Compression Capacity of Concrete-Filled Steel Tubes
Research article (Iranian Journal of Science and Technology Transactions of Civil Engineering, 2022) · cited 13× · AI/ML
Application of Random Forest and Multi-layer Perceptron ANNS in Estimating the Axial Compression Capacity of Concrete-Filled Steel Tubes
Summary
Application of Random Forest and Multi-layer Perceptron ANNS in Estimating the Axial Compression Capacity of Concrete-Filled Steel Tubes is a scholarly article[1].
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Application of Random Forest and Multi-layer Perceptron ANNS in Estimating the Axial Compression Capacity of Concrete-Filled Steel Tubes's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Application of Random Forest and Multi-layer Perceptron ANNS in Estimating the Axial Compression Capacity of Concrete-Filled Steel Tubes. Retrieved May 24, 2026, from https://4ort.xyz/entity/application-of-random-forest-and-multi-layer-perceptron-anns-in-estimating-the-axial-compression-capacity-of-concrete-fi
MLA“Application of Random Forest and Multi-layer Perceptron ANNS in Estimating the Axial Compression Capacity of Concrete-Filled Steel Tubes.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/application-of-random-forest-and-multi-layer-perceptron-anns-in-estimating-the-axial-compression-capacity-of-concrete-fi.
BibTeX@misc{4ortxyz_application-of-random-forest-and-multi-layer-perceptron-anns-in-estimating-the-axial-compression-capacity-of-concrete-fi_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Application of Random Forest and Multi-layer Perceptron ANNS in Estimating the Axial Compression Capacity of Concrete-Filled Steel Tubes}}, year = {2026}, url = {https://4ort.xyz/entity/application-of-random-forest-and-multi-layer-perceptron-anns-in-estimating-the-axial-compression-capacity-of-concrete-fi}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Application of Random Forest and Multi-layer Perceptron ANNS in Estimating the Axial Compression Capacity of Concrete-Filled Steel Tubes — https://4ort.xyz/entity/application-of-random-forest-and-multi-layer-perceptron-anns-in-estimating-the-axial-compression-capacity-of-concrete-fi (retrieved 2026-05-24)