A new hierarchical functional network(HFN) model is presented,and its construction method and learning algorithm are given. The parameters of the HFN are determined by solving a series of equations and used in the learning algorithm.
提出了一种层次泛函网络模型,给出了层次泛函网络构造方法和学习算法,而层次泛函网络的参数利用解方程组来进行逐层学习。
参考来源 - 层次泛函网络学习算法及其在时间序列分析中的应用·2,447,543篇论文数据，部分数据来源于NoteExpress
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