Home › Entities › academia › Bio-hydrogen production from the photocatalytic conversion of wastewater: Parametric analysis and data-driven modelling using nonlinear autoregressive with exogeneous input and back-propagated multilayer perceptron neural networks

Bio-hydrogen production from the photocatalytic conversion of wastewater: Parametric analysis and data-driven modelling using nonlinear autoregressive with exogeneous input and back-propagated multilayer perceptron neural networks

Research article (Fuel, 2023) · cited 22× · AI/ML
academia openalex:W4323971605
Press Enter · cited answer in seconds

Bio-hydrogen production from the photocatalytic conversion of wastewater: Parametric analysis and data-driven modelling using nonlinear autoregressive with exogeneous input and back-propagated multilayer perceptron neural networks

Summary

Bio-hydrogen production from the photocatalytic conversion of wastewater: Parametric analysis and data-driven modelling using nonlinear autoregressive with exogeneous input and back-propagated multilayer perceptron neural networks is a scholarly article[1].

Key Facts

  • Bio-hydrogen production from the photocatalytic conversion of wastewater: Parametric analysis and data-driven modelling using nonlinear autoregressive with exogeneous input and back-propagated multilayer perceptron neural networks's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

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.

APA 4ort.xyz Knowledge Graph. (2026). Bio-hydrogen production from the photocatalytic conversion of wastewater: Parametric analysis and data-driven modelling using nonlinear autoregressive with exogeneous input and back-propagated multilayer perceptron neural networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/bio-hydrogen-production-from-the-photocatalytic-conversion-of-wastewater-parametric-analysis-and-data-driven-modelling-u
MLA “Bio-hydrogen production from the photocatalytic conversion of wastewater: Parametric analysis and data-driven modelling using nonlinear autoregressive with exogeneous input and back-propagated multilayer perceptron neural networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/bio-hydrogen-production-from-the-photocatalytic-conversion-of-wastewater-parametric-analysis-and-data-driven-modelling-u.
BibTeX @misc{4ortxyz_bio-hydrogen-production-from-the-photocatalytic-conversion-of-wastewater-parametric-analysis-and-data-driven-modelling-u_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Bio-hydrogen production from the photocatalytic conversion of wastewater: Parametric analysis and data-driven modelling using nonlinear autoregressive with exogeneous input and back-propagated multilayer perceptron neural networks}}, year = {2026}, url = {https://4ort.xyz/entity/bio-hydrogen-production-from-the-photocatalytic-conversion-of-wastewater-parametric-analysis-and-data-driven-modelling-u}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Bio-hydrogen production from the photocatalytic conversion of wastewater: Parametric analysis and data-driven modelling using nonlinear autoregressive with exogeneous input and back-propagated multilayer perceptron neural networks — https://4ort.xyz/entity/bio-hydrogen-production-from-the-photocatalytic-conversion-of-wastewater-parametric-analysis-and-data-driven-modelling-u (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/bio-hydrogen-production-from-the-photocatalytic-conversion-of-wastewater-parametric-analysis-and-data-driven-modelling-u · Last refreshed: