Implementing novel hybrid models to improve indirect measurement of the daily soil temperature: Elman neural network coupled with gravitational search algorithm and ant colony optimization

Research article (Measurement, 2020) · cited 45× · AI/ML
Press Enter · cited answer in seconds

Implementing novel hybrid models to improve indirect measurement of the daily soil temperature: Elman neural network coupled with gravitational search algorithm and ant colony optimization

Summary

Implementing novel hybrid models to improve indirect measurement of the daily soil temperature: Elman neural network coupled with gravitational search algorithm and ant colony optimization is a scholarly article[1].

Key Facts

  • Implementing novel hybrid models to improve indirect measurement of the daily soil temperature: Elman neural network coupled with gravitational search algorithm and ant colony optimization'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). Implementing novel hybrid models to improve indirect measurement of the daily soil temperature: Elman neural network coupled with gravitational search algorithm and ant colony optimization. Retrieved May 24, 2026, from https://4ort.xyz/entity/implementing-novel-hybrid-models-to-improve-indirect-measurement-of-the-daily-soil-temperature-elman-neural-network-coup
MLA “Implementing novel hybrid models to improve indirect measurement of the daily soil temperature: Elman neural network coupled with gravitational search algorithm and ant colony optimization.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/implementing-novel-hybrid-models-to-improve-indirect-measurement-of-the-daily-soil-temperature-elman-neural-network-coup.
BibTeX @misc{4ortxyz_implementing-novel-hybrid-models-to-improve-indirect-measurement-of-the-daily-soil-temperature-elman-neural-network-coup_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Implementing novel hybrid models to improve indirect measurement of the daily soil temperature: Elman neural network coupled with gravitational search algorithm and ant colony optimization}}, year = {2026}, url = {https://4ort.xyz/entity/implementing-novel-hybrid-models-to-improve-indirect-measurement-of-the-daily-soil-temperature-elman-neural-network-coup}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Implementing novel hybrid models to improve indirect measurement of the daily soil temperature: Elman neural network coupled with gravitational search algorithm and ant colony optimization — https://4ort.xyz/entity/implementing-novel-hybrid-models-to-improve-indirect-measurement-of-the-daily-soil-temperature-elman-neural-network-coup (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/implementing-novel-hybrid-models-to-improve-indirect-measurement-of-the-daily-soil-temperature-elman-neural-network-coup · Last refreshed: