Home ›
Entities
› academia
› A multi-factor and high-order stock forecast model based on Type-2 FTS using cuckoo search and self-adaptive harmony search
A multi-factor and high-order stock forecast model based on Type-2 FTS using cuckoo search and self-adaptive harmony search
Research article (Neurocomputing, 2017) · cited 22× · AI/ML
A multi-factor and high-order stock forecast model based on Type-2 FTS using cuckoo search and self-adaptive harmony search
Summary
A multi-factor and high-order stock forecast model based on Type-2 FTS using cuckoo search and self-adaptive harmony search is a scholarly article[1].
Key Facts
A multi-factor and high-order stock forecast model based on Type-2 FTS using cuckoo search and self-adaptive harmony search'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). A multi-factor and high-order stock forecast model based on Type-2 FTS using cuckoo search and self-adaptive harmony search. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-multi-factor-and-high-order-stock-forecast-model-based-on-type-2-fts-using-cuckoo-search-and-self-adaptive-harmony-sea
MLA“A multi-factor and high-order stock forecast model based on Type-2 FTS using cuckoo search and self-adaptive harmony search.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-multi-factor-and-high-order-stock-forecast-model-based-on-type-2-fts-using-cuckoo-search-and-self-adaptive-harmony-sea.
BibTeX@misc{4ortxyz_a-multi-factor-and-high-order-stock-forecast-model-based-on-type-2-fts-using-cuckoo-search-and-self-adaptive-harmony-sea_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A multi-factor and high-order stock forecast model based on Type-2 FTS using cuckoo search and self-adaptive harmony search}}, year = {2026}, url = {https://4ort.xyz/entity/a-multi-factor-and-high-order-stock-forecast-model-based-on-type-2-fts-using-cuckoo-search-and-self-adaptive-harmony-sea}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A multi-factor and high-order stock forecast model based on Type-2 FTS using cuckoo search and self-adaptive harmony search — https://4ort.xyz/entity/a-multi-factor-and-high-order-stock-forecast-model-based-on-type-2-fts-using-cuckoo-search-and-self-adaptive-harmony-sea (retrieved 2026-05-24)
