Home ›
Entities
› academia
› Transition index maps for urban growth simulation: application of artificial neural networks, weight of evidence and fuzzy multi-criteria evaluation
Transition index maps for urban growth simulation: application of artificial neural networks, weight of evidence and fuzzy multi-criteria evaluation
Research article (Environmental Monitoring and Assessment, 2017) · cited 45× · AI/ML
Transition index maps for urban growth simulation: application of artificial neural networks, weight of evidence and fuzzy multi-criteria evaluation
Summary
Transition index maps for urban growth simulation: application of artificial neural networks, weight of evidence and fuzzy multi-criteria evaluation is a scholarly article[1].
Key Facts
Transition index maps for urban growth simulation: application of artificial neural networks, weight of evidence and fuzzy multi-criteria evaluation'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). Transition index maps for urban growth simulation: application of artificial neural networks, weight of evidence and fuzzy multi-criteria evaluation. Retrieved May 24, 2026, from https://4ort.xyz/entity/transition-index-maps-for-urban-growth-simulation-application-of-artificial-neural-networks-weight-of-evidence-and-fuzzy
MLA“Transition index maps for urban growth simulation: application of artificial neural networks, weight of evidence and fuzzy multi-criteria evaluation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/transition-index-maps-for-urban-growth-simulation-application-of-artificial-neural-networks-weight-of-evidence-and-fuzzy.
BibTeX@misc{4ortxyz_transition-index-maps-for-urban-growth-simulation-application-of-artificial-neural-networks-weight-of-evidence-and-fuzzy_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Transition index maps for urban growth simulation: application of artificial neural networks, weight of evidence and fuzzy multi-criteria evaluation}}, year = {2026}, url = {https://4ort.xyz/entity/transition-index-maps-for-urban-growth-simulation-application-of-artificial-neural-networks-weight-of-evidence-and-fuzzy}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Transition index maps for urban growth simulation: application of artificial neural networks, weight of evidence and fuzzy multi-criteria evaluation — https://4ort.xyz/entity/transition-index-maps-for-urban-growth-simulation-application-of-artificial-neural-networks-weight-of-evidence-and-fuzzy (retrieved 2026-05-24)
