均方根误差(RMSE)

均方根误差(RMSE)是衡量图像质量或模型预测准确性的指标之一。它计算了真实值与预测值之间的差异，并将其平方后求和再取平均，最后取平方根。RMSE值越小，表示图像或模型的预测越准确。RMSE的计算公式为：<em>1</em><em>2</em><em>3</em>
#### 引用[.reference_title]
- *1* [图像处理之图像质量评价指标RMSE(均方根误差)](https://blog.csdn.net/qq_44111805/article/details/127705623)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v92^chatsearchT0_1"}} ] [.reference_item]
- *2* [方差、标准差、均方差、均方根值(RMS)、均方根误差(RMSE)](https://blog.csdn.net/zzb714121/article/details/125339827)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v92^chatsearchT0_1"}} ] [.reference_item]
- *3* [均方根误差（RMSE）| 机器学习](https://blog.csdn.net/cumt30111/article/details/107796692)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v92^chatsearchT0_1"}} ] [.reference_item]
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