基于多门控混合专家网络的燃烧热化学流形表征 |
王意存,邵长孝,金台,邢江宽,罗坤,樊建人 |
Representation of combustion thermochemical manifolds via multi-gate mixture of experts |
Yi-cun WANG,Chang-xiao SHAO,Tai JIN,Jiang-kuan XING,Kun LUO,Jian-ren FAN |
图 5 神经网络模型的损失值随迭代步数的变化 |
Fig.5 Loss values versus iterations for different neural networks |
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