Home ›
Entities
› academia
› Non-linear Autoregressive with Exogeneous input (narx) bitcoin price prediction model using PSO-optimized parameters and moving average technical indicators
Non-linear Autoregressive with Exogeneous input (narx) bitcoin price prediction model using PSO-optimized parameters and moving average technical indicators
Research article (Journal of Fundamental and Applied Sciences, 2018) · cited 94× · AI/ML
Non-linear Autoregressive with Exogeneous input (narx) bitcoin price prediction model using PSO-optimized parameters and moving average technical indicators
Summary
Non-linear Autoregressive with Exogeneous input (narx) bitcoin price prediction model using PSO-optimized parameters and moving average technical indicators is a scholarly article[1].
Key Facts
Non-linear Autoregressive with Exogeneous input (narx) bitcoin price prediction model using PSO-optimized parameters and moving average technical indicators'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). Non-linear Autoregressive with Exogeneous input (narx) bitcoin price prediction model using PSO-optimized parameters and moving average technical indicators. Retrieved May 24, 2026, from https://4ort.xyz/entity/non-linear-autoregressive-with-exogeneous-input-narx-bitcoin-price-prediction-model-using-pso-optimized-parameters-and-m
MLA“Non-linear Autoregressive with Exogeneous input (narx) bitcoin price prediction model using PSO-optimized parameters and moving average technical indicators.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/non-linear-autoregressive-with-exogeneous-input-narx-bitcoin-price-prediction-model-using-pso-optimized-parameters-and-m.
BibTeX@misc{4ortxyz_non-linear-autoregressive-with-exogeneous-input-narx-bitcoin-price-prediction-model-using-pso-optimized-parameters-and-m_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Non-linear Autoregressive with Exogeneous input (narx) bitcoin price prediction model using PSO-optimized parameters and moving average technical indicators}}, year = {2026}, url = {https://4ort.xyz/entity/non-linear-autoregressive-with-exogeneous-input-narx-bitcoin-price-prediction-model-using-pso-optimized-parameters-and-m}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Non-linear Autoregressive with Exogeneous input (narx) bitcoin price prediction model using PSO-optimized parameters and moving average technical indicators — https://4ort.xyz/entity/non-linear-autoregressive-with-exogeneous-input-narx-bitcoin-price-prediction-model-using-pso-optimized-parameters-and-m (retrieved 2026-05-24)