GMDH-type neural network approach for modeling the discharge coefficient of rectangular sharp-crested side weirs
Summary
GMDH-type neural network approach for modeling the discharge coefficient of rectangular sharp-crested side weirs is a scholarly article[1].
Key Facts
GMDH-type neural network approach for modeling the discharge coefficient of rectangular sharp-crested side weirs's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). GMDH-type neural network approach for modeling the discharge coefficient of rectangular sharp-crested side weirs. Retrieved May 24, 2026, from https://4ort.xyz/entity/gmdh-type-neural-network-approach-for-modeling-the-discharge-coefficient-of-rectangular-sharp-crested-side-weirs
MLA“GMDH-type neural network approach for modeling the discharge coefficient of rectangular sharp-crested side weirs.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/gmdh-type-neural-network-approach-for-modeling-the-discharge-coefficient-of-rectangular-sharp-crested-side-weirs.
BibTeX@misc{4ortxyz_gmdh-type-neural-network-approach-for-modeling-the-discharge-coefficient-of-rectangular-sharp-crested-side-weirs_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{GMDH-type neural network approach for modeling the discharge coefficient of rectangular sharp-crested side weirs}}, year = {2026}, url = {https://4ort.xyz/entity/gmdh-type-neural-network-approach-for-modeling-the-discharge-coefficient-of-rectangular-sharp-crested-side-weirs}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): GMDH-type neural network approach for modeling the discharge coefficient of rectangular sharp-crested side weirs — https://4ort.xyz/entity/gmdh-type-neural-network-approach-for-modeling-the-discharge-coefficient-of-rectangular-sharp-crested-side-weirs (retrieved 2026-05-24)
