Home ›
Entities
› academia
› Refining Altimeter-Derived Gravity Anomaly Model from Shipborne Gravity by Multi-Layer Perceptron Neural Network: A Case in the South China Sea
Refining Altimeter-Derived Gravity Anomaly Model from Shipborne Gravity by Multi-Layer Perceptron Neural Network: A Case in the South China Sea
Research article (Remote Sensing, 2021) · cited 23× · AI/ML
Refining Altimeter-Derived Gravity Anomaly Model from Shipborne Gravity by Multi-Layer Perceptron Neural Network: A Case in the South China Sea
Summary
Refining Altimeter-Derived Gravity Anomaly Model from Shipborne Gravity by Multi-Layer Perceptron Neural Network: A Case in the South China Sea is a scholarly article[1].
Key Facts
Refining Altimeter-Derived Gravity Anomaly Model from Shipborne Gravity by Multi-Layer Perceptron Neural Network: A Case in the South China Sea'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). Refining Altimeter-Derived Gravity Anomaly Model from Shipborne Gravity by Multi-Layer Perceptron Neural Network: A Case in the South China Sea. Retrieved May 24, 2026, from https://4ort.xyz/entity/refining-altimeter-derived-gravity-anomaly-model-from-shipborne-gravity-by-multi-layer-perceptron-neural-network-a-case-
MLA“Refining Altimeter-Derived Gravity Anomaly Model from Shipborne Gravity by Multi-Layer Perceptron Neural Network: A Case in the South China Sea.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/refining-altimeter-derived-gravity-anomaly-model-from-shipborne-gravity-by-multi-layer-perceptron-neural-network-a-case-.
BibTeX@misc{4ortxyz_refining-altimeter-derived-gravity-anomaly-model-from-shipborne-gravity-by-multi-layer-perceptron-neural-network-a-case-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Refining Altimeter-Derived Gravity Anomaly Model from Shipborne Gravity by Multi-Layer Perceptron Neural Network: A Case in the South China Sea}}, year = {2026}, url = {https://4ort.xyz/entity/refining-altimeter-derived-gravity-anomaly-model-from-shipborne-gravity-by-multi-layer-perceptron-neural-network-a-case-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Refining Altimeter-Derived Gravity Anomaly Model from Shipborne Gravity by Multi-Layer Perceptron Neural Network: A Case in the South China Sea — https://4ort.xyz/entity/refining-altimeter-derived-gravity-anomaly-model-from-shipborne-gravity-by-multi-layer-perceptron-neural-network-a-case- (retrieved 2026-05-24)
