第三,项目组对模型动态属性进行了深入研究,对比分析了跨期动态 (Intertemproal Dynamic)和递归动态(Recursive Dynamic)两种方法的优劣,并分别采用 不同的方法实现了两种动态属性在模型的体现问题。
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annual recursive dynamic 逐年递归动态
dynamic recursive 动态递归
Dynamic Recursive Model 递推动态模型
dynamic recursive method 动态递推法
dynamic recursive neural network 动态递归网络
dynamic recursive digital filters 动态递归数字滤波器
The majority of the issues relate to recursive structures and how to cope with dynamic input and output data.
大多数问题与递归结构以及如何处理动态输入和输出数据有关。
A recursive least squares algorithm for linking weight between linear layers of RBF network is introduced, and a dynamic recursive algorithm of center vector is proposed.
介绍了R BF网络线性层权值的训练算法——递推最小二乘法,及中心向量的动态递推算法。
In practical work, new sample data is often obtained continually, so these new data can be joined the empirical equation of regression by using recursive formula, and form a dynamic forecast system.
在实际工作中,往往会不断得到新样品数据,可利用递推公式不断地把新信息加入到经验回归方程中去,以构成一个动态的预测系统。
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