Home ›
Entities
› academia
› A compensation method for gyroscope random drift based on unscented Kalman filter and support vector regression optimized by adaptive beetle antennae search algorithm
A compensation method for gyroscope random drift based on unscented Kalman filter and support vector regression optimized by adaptive beetle antennae search algorithm
Research article (Applied Intelligence, 2022) · cited 16× · AI/ML
A compensation method for gyroscope random drift based on unscented Kalman filter and support vector regression optimized by adaptive beetle antennae search algorithm
Summary
A compensation method for gyroscope random drift based on unscented Kalman filter and support vector regression optimized by adaptive beetle antennae search algorithm is a scholarly article[1].
Key Facts
A compensation method for gyroscope random drift based on unscented Kalman filter and support vector regression optimized by adaptive beetle antennae search algorithm'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 compensation method for gyroscope random drift based on unscented Kalman filter and support vector regression optimized by adaptive beetle antennae search algorithm. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-compensation-method-for-gyroscope-random-drift-based-on-unscented-kalman-filter-and-support-vector-regression-optimize
MLA“A compensation method for gyroscope random drift based on unscented Kalman filter and support vector regression optimized by adaptive beetle antennae search algorithm.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-compensation-method-for-gyroscope-random-drift-based-on-unscented-kalman-filter-and-support-vector-regression-optimize.
BibTeX@misc{4ortxyz_a-compensation-method-for-gyroscope-random-drift-based-on-unscented-kalman-filter-and-support-vector-regression-optimize_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A compensation method for gyroscope random drift based on unscented Kalman filter and support vector regression optimized by adaptive beetle antennae search algorithm}}, year = {2026}, url = {https://4ort.xyz/entity/a-compensation-method-for-gyroscope-random-drift-based-on-unscented-kalman-filter-and-support-vector-regression-optimize}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A compensation method for gyroscope random drift based on unscented Kalman filter and support vector regression optimized by adaptive beetle antennae search algorithm — https://4ort.xyz/entity/a-compensation-method-for-gyroscope-random-drift-based-on-unscented-kalman-filter-and-support-vector-regression-optimize (retrieved 2026-05-24)
