Home ›
Entities
› academia
› A comparative study on long short-term memory and gated recurrent unit neural networks in fault diagnosis for chemical processes using visualization
A comparative study on long short-term memory and gated recurrent unit neural networks in fault diagnosis for chemical processes using visualization
Research article (Journal of the Taiwan Institute of Chemical Engineers, 2021) · cited 65× · AI/ML
A comparative study on long short-term memory and gated recurrent unit neural networks in fault diagnosis for chemical processes using visualization
Summary
A comparative study on long short-term memory and gated recurrent unit neural networks in fault diagnosis for chemical processes using visualization is a scholarly article[1].
Key Facts
A comparative study on long short-term memory and gated recurrent unit neural networks in fault diagnosis for chemical processes using visualization'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). A comparative study on long short-term memory and gated recurrent unit neural networks in fault diagnosis for chemical processes using visualization. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-comparative-study-on-long-short-term-memory-and-gated-recurrent-unit-neural-networks-in-fault-diagnosis-for-chemical-p
MLA“A comparative study on long short-term memory and gated recurrent unit neural networks in fault diagnosis for chemical processes using visualization.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-comparative-study-on-long-short-term-memory-and-gated-recurrent-unit-neural-networks-in-fault-diagnosis-for-chemical-p.
BibTeX@misc{4ortxyz_a-comparative-study-on-long-short-term-memory-and-gated-recurrent-unit-neural-networks-in-fault-diagnosis-for-chemical-p_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A comparative study on long short-term memory and gated recurrent unit neural networks in fault diagnosis for chemical processes using visualization}}, year = {2026}, url = {https://4ort.xyz/entity/a-comparative-study-on-long-short-term-memory-and-gated-recurrent-unit-neural-networks-in-fault-diagnosis-for-chemical-p}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A comparative study on long short-term memory and gated recurrent unit neural networks in fault diagnosis for chemical processes using visualization — https://4ort.xyz/entity/a-comparative-study-on-long-short-term-memory-and-gated-recurrent-unit-neural-networks-in-fault-diagnosis-for-chemical-p (retrieved 2026-05-24)
