Home ›
Entities
› academia
› Comparative assessment of deep belief network and hybrid adaptive neuro-fuzzy inference system model based on a meta-heuristic optimization algorithm for precise predictions of the potential evapotranspiration
Comparative assessment of deep belief network and hybrid adaptive neuro-fuzzy inference system model based on a meta-heuristic optimization algorithm for precise predictions of the potential evapotranspiration
Research article (Environmental Science and Pollution Research, 2024) · cited 24× · AI/ML
Comparative assessment of deep belief network and hybrid adaptive neuro-fuzzy inference system model based on a meta-heuristic optimization algorithm for precise predictions of the potential evapotranspiration
Summary
Comparative assessment of deep belief network and hybrid adaptive neuro-fuzzy inference system model based on a meta-heuristic optimization algorithm for precise predictions of the potential evapotranspiration is a scholarly article[1].
Key Facts
Comparative assessment of deep belief network and hybrid adaptive neuro-fuzzy inference system model based on a meta-heuristic optimization algorithm for precise predictions of the potential evapotranspiration'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). Comparative assessment of deep belief network and hybrid adaptive neuro-fuzzy inference system model based on a meta-heuristic optimization algorithm for precise predictions of the potential evapotranspiration. Retrieved May 24, 2026, from https://4ort.xyz/entity/comparative-assessment-of-deep-belief-network-and-hybrid-adaptive-neuro-fuzzy-inference-system-model-based-on-a-meta-heu
MLA“Comparative assessment of deep belief network and hybrid adaptive neuro-fuzzy inference system model based on a meta-heuristic optimization algorithm for precise predictions of the potential evapotranspiration.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/comparative-assessment-of-deep-belief-network-and-hybrid-adaptive-neuro-fuzzy-inference-system-model-based-on-a-meta-heu.
BibTeX@misc{4ortxyz_comparative-assessment-of-deep-belief-network-and-hybrid-adaptive-neuro-fuzzy-inference-system-model-based-on-a-meta-heu_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Comparative assessment of deep belief network and hybrid adaptive neuro-fuzzy inference system model based on a meta-heuristic optimization algorithm for precise predictions of the potential evapotranspiration}}, year = {2026}, url = {https://4ort.xyz/entity/comparative-assessment-of-deep-belief-network-and-hybrid-adaptive-neuro-fuzzy-inference-system-model-based-on-a-meta-heu}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Comparative assessment of deep belief network and hybrid adaptive neuro-fuzzy inference system model based on a meta-heuristic optimization algorithm for precise predictions of the potential evapotranspiration — https://4ort.xyz/entity/comparative-assessment-of-deep-belief-network-and-hybrid-adaptive-neuro-fuzzy-inference-system-model-based-on-a-meta-heu (retrieved 2026-05-24)