Development and comparative selection of surrogate models using artificial neural network for an integrated regenerative transcritical cycle

Research article (Applied Energy, 2022) · cited 11× · AI/ML
Press Enter · cited answer in seconds

Development and comparative selection of surrogate models using artificial neural network for an integrated regenerative transcritical cycle

Summary

Development and comparative selection of surrogate models using artificial neural network for an integrated regenerative transcritical cycle is a scholarly article[1].

Key Facts

  • Development and comparative selection of surrogate models using artificial neural network for an integrated regenerative transcritical cycle's instance of is recorded as scholarly article[2].

📑 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). Development and comparative selection of surrogate models using artificial neural network for an integrated regenerative transcritical cycle. Retrieved May 24, 2026, from https://4ort.xyz/entity/development-and-comparative-selection-of-surrogate-models-using-artificial-neural-network-for-an-integrated-regenerative
MLA “Development and comparative selection of surrogate models using artificial neural network for an integrated regenerative transcritical cycle.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/development-and-comparative-selection-of-surrogate-models-using-artificial-neural-network-for-an-integrated-regenerative.
BibTeX @misc{4ortxyz_development-and-comparative-selection-of-surrogate-models-using-artificial-neural-network-for-an-integrated-regenerative_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Development and comparative selection of surrogate models using artificial neural network for an integrated regenerative transcritical cycle}}, year = {2026}, url = {https://4ort.xyz/entity/development-and-comparative-selection-of-surrogate-models-using-artificial-neural-network-for-an-integrated-regenerative}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Development and comparative selection of surrogate models using artificial neural network for an integrated regenerative transcritical cycle — https://4ort.xyz/entity/development-and-comparative-selection-of-surrogate-models-using-artificial-neural-network-for-an-integrated-regenerative (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/development-and-comparative-selection-of-surrogate-models-using-artificial-neural-network-for-an-integrated-regenerative · Last refreshed: