Home ›
Entities
› academia
› Prediction of karst spring discharge using LSTM with Bayesian optimisation hyperparameter tuning: a laboratory physical model approach
Prediction of karst spring discharge using LSTM with Bayesian optimisation hyperparameter tuning: a laboratory physical model approach
Research article (Modeling Earth Systems and Environment, 2023) · cited 10× · AI/ML
Prediction of karst spring discharge using LSTM with Bayesian optimisation hyperparameter tuning: a laboratory physical model approach
Summary
Prediction of karst spring discharge using LSTM with Bayesian optimisation hyperparameter tuning: a laboratory physical model approach is a scholarly article[1].
Key Facts
Prediction of karst spring discharge using LSTM with Bayesian optimisation hyperparameter tuning: a laboratory physical model approach'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). Prediction of karst spring discharge using LSTM with Bayesian optimisation hyperparameter tuning: a laboratory physical model approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/prediction-of-karst-spring-discharge-using-lstm-with-bayesian-optimisation-hyperparameter-tuning-a-laboratory-physical-m
MLA“Prediction of karst spring discharge using LSTM with Bayesian optimisation hyperparameter tuning: a laboratory physical model approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/prediction-of-karst-spring-discharge-using-lstm-with-bayesian-optimisation-hyperparameter-tuning-a-laboratory-physical-m.
BibTeX@misc{4ortxyz_prediction-of-karst-spring-discharge-using-lstm-with-bayesian-optimisation-hyperparameter-tuning-a-laboratory-physical-m_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Prediction of karst spring discharge using LSTM with Bayesian optimisation hyperparameter tuning: a laboratory physical model approach}}, year = {2026}, url = {https://4ort.xyz/entity/prediction-of-karst-spring-discharge-using-lstm-with-bayesian-optimisation-hyperparameter-tuning-a-laboratory-physical-m}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Prediction of karst spring discharge using LSTM with Bayesian optimisation hyperparameter tuning: a laboratory physical model approach — https://4ort.xyz/entity/prediction-of-karst-spring-discharge-using-lstm-with-bayesian-optimisation-hyperparameter-tuning-a-laboratory-physical-m (retrieved 2026-05-24)
