Gaoya dianqi油中溶解乙炔作为电力变压器中重要的放电程度表征参量之一，对其进行多步预测可以为变压器故障诊断及预警提供重要依据。现有的状态预测模型主要集中于单步预测，对于未来更长时期变化趋势的预测手段不足。此外，基于深度学习的多步预测模型的超参数选择大多基于经验和朴素的单一控制变量法，超参数之间的耦合关系没有得到充分的研究。文中提出基于多输出策略的门控循环单元（gated recurrent unit，GRU）神经网络多步预测模型，通过改变模型结构超参数和训练超参数研究超参数之间的耦合关系 ...
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[Predictors of sepsis-induced coagulopathy in children and development of a prediction model]. [PDF]
Zhongguo Dang Dai Er Ke Za ZhiMaihemuti M, Simijiang Y.
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[Multimodal Data-Driven Prediction of Gynecological Surgery Duration]. [PDF]
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[Predictive factors and nomogram model construction for plastic bronchitis in children with <i>Mycoplasma pneumoniae</i> pneumonia]. [PDF]
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[Predicting epileptic seizures based on a multi-convolution fusion network]. [PDF]
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[Predictive factors for hemodynamically significant patent ductus arteriosus in preterm infants and the construction of a nomogram prediction model]. [PDF]
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[Risk Prediction Performance of Blood Biomarkers for Bipolar Disorder With Psychotic Symptoms]. [PDF]
Sichuan Da Xue Xue Bao Yi Xue BanNi Z +6 more
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[Prediction of protein Kbhb sites based on learnable feature embedding]. [PDF]
Sheng Wu Yi Xue Gong Cheng Xue Za ZhiWei Z, Wang Z, Yu J, Deng C, Yu D.
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