Noise prediction of axial piston pump based on different valve materials using a modified artificial neural network model

Research article (Alexandria Engineering Journal, 2019) · cited 86× · AI/ML
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Noise prediction of axial piston pump based on different valve materials using a modified artificial neural network model

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Noise prediction of axial piston pump based on different valve materials using a modified artificial neural network model is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Noise prediction of axial piston pump based on different valve materials using a modified artificial neural network model. Retrieved May 24, 2026, from https://4ort.xyz/entity/noise-prediction-of-axial-piston-pump-based-on-different-valve-materials-using-a-modified-artificial-neural-network-mode
MLA “Noise prediction of axial piston pump based on different valve materials using a modified artificial neural network model.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/noise-prediction-of-axial-piston-pump-based-on-different-valve-materials-using-a-modified-artificial-neural-network-mode.
BibTeX @misc{4ortxyz_noise-prediction-of-axial-piston-pump-based-on-different-valve-materials-using-a-modified-artificial-neural-network-mode_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Noise prediction of axial piston pump based on different valve materials using a modified artificial neural network model}}, year = {2026}, url = {https://4ort.xyz/entity/noise-prediction-of-axial-piston-pump-based-on-different-valve-materials-using-a-modified-artificial-neural-network-mode}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Noise prediction of axial piston pump based on different valve materials using a modified artificial neural network model — https://4ort.xyz/entity/noise-prediction-of-axial-piston-pump-based-on-different-valve-materials-using-a-modified-artificial-neural-network-mode (retrieved 2026-05-24)

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