Processing time series data using the sliding window method, where <i>t</i> represents the label of the time series segment.

Processing time series data using the sliding window method, where <i>t</i> represents the label of the time series segment.

<p>Processing time series data using the sliding window method, where <i>t</i> represents the label of the time series segment.</p>

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Changsheng Li (278602) (author)
مؤلفون آخرون:	Xinsong Zhang (21212409) (author)
منشور في:	2025
الموضوعات:	Microbiology Biological Sciences not elsewhere classified Information Systems not elsewhere classified term memory autoencoder handling large datasets complex mechanical properties biaxial compression using recurrent neural network predicting 10 sets encoder extracts features ae approach uses div >< p >< sup ae network valuable reference true values target sequence study provides strain curves strain behavior special samples significantly advanced rock materials rmse </ results indicate r </ paper proposes mse </ mae </ lstm network long short input data evaluation metrics determination (< deep learning
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