Home ›
Entities
› academia
› A feature-enhanced long short-term memory network combined with residual-driven <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e2534" altimg="si21.svg"><mml:mi>ν</mml:mi></mml:math> support vector regression for financial market prediction
A feature-enhanced long short-term memory network combined with residual-driven <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e2534" altimg="si21.svg"><mml:mi>ν</mml:mi></mml:math> support vector regression for financial market prediction
Research article (Engineering Applications of Artificial Intelligence, 2022) · cited 17× · AI/ML
A feature-enhanced long short-term memory network combined with residual-driven ν support vector regression for financial market prediction
Summary
A feature-enhanced long short-term memory network combined with residual-driven ν support vector regression for financial market prediction is a scholarly article<sup id="cite-A2" class="cite-ref" title="A feature-enhanced long short-term memory network combined with residual-driven ν[1].
Key Facts
A feature-enhanced long short-term memory network combined with residual-driven ν support vector regression for financial market prediction's instance of is recorded as scholarly article<sup id="cite-C1" class="cite-ref" title="A feature-enhanced long short-term memory network combined with residual-driven ν[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 feature-enhanced long short-term memory network combined with residual-driven <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e2534" altimg="si21.svg"><mml:mi>ν</mml:mi></mml:math> support vector regression for financial market prediction. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-feature-enhanced-long-short-term-memory-network-combined-with-residual-driven-mml-math-xmlns-mml-http-www-w3-org-1998-
MLA“A feature-enhanced long short-term memory network combined with residual-driven <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e2534" altimg="si21.svg"><mml:mi>ν</mml:mi></mml:math> support vector regression for financial market prediction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-feature-enhanced-long-short-term-memory-network-combined-with-residual-driven-mml-math-xmlns-mml-http-www-w3-org-1998-.
BibTeX@misc{4ortxyz_a-feature-enhanced-long-short-term-memory-network-combined-with-residual-driven-mml-math-xmlns-mml-http-www-w3-org-1998-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A feature-enhanced long short-term memory network combined with residual-driven <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e2534" altimg="si21.svg"><mml:mi>ν</mml:mi></mml:math> support vector regression for financial market prediction}}, year = {2026}, url = {https://4ort.xyz/entity/a-feature-enhanced-long-short-term-memory-network-combined-with-residual-driven-mml-math-xmlns-mml-http-www-w3-org-1998-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A feature-enhanced long short-term memory network combined with residual-driven <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e2534" altimg="si21.svg"><mml:mi>ν</mml:mi></mml:math> support vector regression for financial market prediction — https://4ort.xyz/entity/a-feature-enhanced-long-short-term-memory-network-combined-with-residual-driven-mml-math-xmlns-mml-http-www-w3-org-1998- (retrieved 2026-05-24)
