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基于PSO-BP神经网络的透平气膜冷却效率预测

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摘要 为了研究多因素影响下透平叶片气膜冷却效果,以吹风比、密度比、主流湍流度、面积比、间距比和无量纲下游距离为输入参数,提出了1种基于PSO-BP神经网络的气膜冷却效率预测模型。预测结果表明:PSO-BP预测模型有更高的预测精度,平均相对误差为7.72%;相比传统BP神经网络模型相对误差提高了5.64%,模型适用范围广,具有较好的泛化性。
出处 《能源与环境》 2024年第1期51-53,66,共4页 Energy and Environment
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