RUM:递归更新模型
“递归更新模型”(Recursive Update Model)在计算机软件领域中常被简称为RUM,这一简称有助于提升书写和使用的效率。该术语广泛用于描述涉及递归算法或数据迭代更新的模型设计,在系统开发与程序优化方面具有重要应用价值。
Recursive Update Model具体释义
Recursive Update Model的英文发音
例句
- During the process of state estimation, recursive extended least square was introduced to update the parameters of state model, at the same time exponential weighted algorithm was put in use to estimate the statistical characteristic of time-varying noise.
- 这样,在利用量测数据进行状态估计的同时,来不断的对系统模型参数和噪声统计特性进行估计和修正以提高模型精确度,降低状态估计的误差。
- In theory, a temporal recursive low pass filter model is developed and used to update the background dynamically based on multi-frames moving weighted averaging and motion detecting. Actually, several proposals lie in the derivation of the parameter k in the model.
- 采用了多帧运动加权平均理论及运动检测理论建立了时域递归低通滤波算法模型,并将该模型应用于缓慢变化的背景预测。
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