Home ›
Entities
› academia
› An effective deep feedforward neural networks (DFNN) method for damage identification of truss structures using noisy incomplete modal data
An effective deep feedforward neural networks (DFNN) method for damage identification of truss structures using noisy incomplete modal data
Research article (Journal of Building Engineering, 2020) · cited 88× · AI/ML
An effective deep feedforward neural networks (DFNN) method for damage identification of truss structures using noisy incomplete modal data
Summary
An effective deep feedforward neural networks (DFNN) method for damage identification of truss structures using noisy incomplete modal data is a scholarly article[1].
Key Facts
An effective deep feedforward neural networks (DFNN) method for damage identification of truss structures using noisy incomplete modal data's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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.
APA4ort.xyz Knowledge Graph. (2026). An effective deep feedforward neural networks (DFNN) method for damage identification of truss structures using noisy incomplete modal data. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-effective-deep-feedforward-neural-networks-dfnn-method-for-damage-identification-of-truss-structures-using-noisy-inco
MLA“An effective deep feedforward neural networks (DFNN) method for damage identification of truss structures using noisy incomplete modal data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-effective-deep-feedforward-neural-networks-dfnn-method-for-damage-identification-of-truss-structures-using-noisy-inco.
BibTeX@misc{4ortxyz_an-effective-deep-feedforward-neural-networks-dfnn-method-for-damage-identification-of-truss-structures-using-noisy-inco_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An effective deep feedforward neural networks (DFNN) method for damage identification of truss structures using noisy incomplete modal data}}, year = {2026}, url = {https://4ort.xyz/entity/an-effective-deep-feedforward-neural-networks-dfnn-method-for-damage-identification-of-truss-structures-using-noisy-inco}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An effective deep feedforward neural networks (DFNN) method for damage identification of truss structures using noisy incomplete modal data — https://4ort.xyz/entity/an-effective-deep-feedforward-neural-networks-dfnn-method-for-damage-identification-of-truss-structures-using-noisy-inco (retrieved 2026-05-24)