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A convolutional neural network method based on Adam optimizer with power-exponential learning rate for bearing fault diagnosis
Research article (Journal of Vibroengineering, 2022) · cited 74× · AI/ML
A convolutional neural network method based on Adam optimizer with power-exponential learning rate for bearing fault diagnosis
Summary
A convolutional neural network method based on Adam optimizer with power-exponential learning rate for bearing fault diagnosis is a scholarly article[1].
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A convolutional neural network method based on Adam optimizer with power-exponential learning rate for bearing fault diagnosis's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). A convolutional neural network method based on Adam optimizer with power-exponential learning rate for bearing fault diagnosis. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-convolutional-neural-network-method-based-on-adam-optimizer-with-power-exponential-learning-rate-for-bearing-fault-dia
MLA“A convolutional neural network method based on Adam optimizer with power-exponential learning rate for bearing fault diagnosis.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-convolutional-neural-network-method-based-on-adam-optimizer-with-power-exponential-learning-rate-for-bearing-fault-dia.
BibTeX@misc{4ortxyz_a-convolutional-neural-network-method-based-on-adam-optimizer-with-power-exponential-learning-rate-for-bearing-fault-dia_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A convolutional neural network method based on Adam optimizer with power-exponential learning rate for bearing fault diagnosis}}, year = {2026}, url = {https://4ort.xyz/entity/a-convolutional-neural-network-method-based-on-adam-optimizer-with-power-exponential-learning-rate-for-bearing-fault-dia}, note = {Accessed: 2026-05-24}}
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