Home ›
Entities
› academia
› Daily reference evapotranspiration prediction based on hybridized extreme learning machine model with bio-inspired optimization algorithms: Application in contrasting climates of China
Daily reference evapotranspiration prediction based on hybridized extreme learning machine model with bio-inspired optimization algorithms: Application in contrasting climates of China
Research article (Journal of Hydrology, 2019) · cited 140× · AI/ML
Daily reference evapotranspiration prediction based on hybridized extreme learning machine model with bio-inspired optimization algorithms: Application in contrasting climates of China
Summary
Daily reference evapotranspiration prediction based on hybridized extreme learning machine model with bio-inspired optimization algorithms: Application in contrasting climates of China is a scholarly article[1].
Key Facts
Daily reference evapotranspiration prediction based on hybridized extreme learning machine model with bio-inspired optimization algorithms: Application in contrasting climates of China'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). Daily reference evapotranspiration prediction based on hybridized extreme learning machine model with bio-inspired optimization algorithms: Application in contrasting climates of China. Retrieved May 24, 2026, from https://4ort.xyz/entity/daily-reference-evapotranspiration-prediction-based-on-hybridized-extreme-learning-machine-model-with-bio-inspired-optim
MLA“Daily reference evapotranspiration prediction based on hybridized extreme learning machine model with bio-inspired optimization algorithms: Application in contrasting climates of China.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/daily-reference-evapotranspiration-prediction-based-on-hybridized-extreme-learning-machine-model-with-bio-inspired-optim.
BibTeX@misc{4ortxyz_daily-reference-evapotranspiration-prediction-based-on-hybridized-extreme-learning-machine-model-with-bio-inspired-optim_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Daily reference evapotranspiration prediction based on hybridized extreme learning machine model with bio-inspired optimization algorithms: Application in contrasting climates of China}}, year = {2026}, url = {https://4ort.xyz/entity/daily-reference-evapotranspiration-prediction-based-on-hybridized-extreme-learning-machine-model-with-bio-inspired-optim}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Daily reference evapotranspiration prediction based on hybridized extreme learning machine model with bio-inspired optimization algorithms: Application in contrasting climates of China — https://4ort.xyz/entity/daily-reference-evapotranspiration-prediction-based-on-hybridized-extreme-learning-machine-model-with-bio-inspired-optim (retrieved 2026-05-24)