Deep learning LSTM for predicting thermally induced geometric errors using rotary axes’ powers as input parameters
Summary
Deep learning LSTM for predicting thermally induced geometric errors using rotary axes’ powers as input parameters is a scholarly article[1].
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Deep learning LSTM for predicting thermally induced geometric errors using rotary axes’ powers as input parameters's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Deep learning LSTM for predicting thermally induced geometric errors using rotary axes’ powers as input parameters. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-learning-lstm-for-predicting-thermally-induced-geometric-errors-using-rotary-axes-powers-as-input-parameters
MLA“Deep learning LSTM for predicting thermally induced geometric errors using rotary axes’ powers as input parameters.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-learning-lstm-for-predicting-thermally-induced-geometric-errors-using-rotary-axes-powers-as-input-parameters.
BibTeX@misc{4ortxyz_deep-learning-lstm-for-predicting-thermally-induced-geometric-errors-using-rotary-axes-powers-as-input-parameters_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep learning LSTM for predicting thermally induced geometric errors using rotary axes’ powers as input parameters}}, year = {2026}, url = {https://4ort.xyz/entity/deep-learning-lstm-for-predicting-thermally-induced-geometric-errors-using-rotary-axes-powers-as-input-parameters}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep learning LSTM for predicting thermally induced geometric errors using rotary axes’ powers as input parameters — https://4ort.xyz/entity/deep-learning-lstm-for-predicting-thermally-induced-geometric-errors-using-rotary-axes-powers-as-input-parameters (retrieved 2026-05-24)
