Comparison of relative errors between predicted and actual values for different models (based on the 1000th day data of three example cases).

Comparison of relative errors between predicted and actual values for different models (based on the 1000th day data of three example cases).

<p>Comparison of relative errors between predicted and actual values for different models (based on the 1000th day data of three example cases).</p>

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Bibliographic Details
Main Author:	Xiaoou Fei (22614914) (author)
Other Authors:	Man Ye (6459494) (author), Zhou Du (228656) (author), Haibin Miao (22614917) (author)
Published:	2025
Subjects:	Developmental Biology Infectious Diseases Biological Sciences not elsewhere classified Information Systems not elsewhere classified shale gas production numerical simulation model improving production efficiency excellent generalization capability deep learning techniques actual production data optimizing reservoir development 43 %, 6 particularly lstm networks lstm neural networks 42 %, 1 1 %, efficient development 36 %, 16 %, two types thereby establishing term memory term dependencies results demonstrate relative errors layer perceptron first developed engineering applicability 98 %.
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