In this paper, by analyzing the functional network, a new model and learning algorithm of the serial functional networks is proposed.
通过对泛函网络的分析，提出了一种序列泛函网络模型及学习算法，而网络的泛函参数利用梯度下降法来进行学习。
The new computing model of polynomial functional network is firstly proposed and the solving polynomials computing problem in arbitrary coefficients fields or ring is discussed.
提出了一种多项式泛函网络运算新模型，来求解任意数域或环上多项式运算问题。
Functional network is a recently introduced extension of neural networks.
泛函网络是最近提出的一种对神经网络的有效推广。
Modelling Human Brain functional Network is realized by functional or effective connectivity.
构建人脑功能网络模型主要通过功能连接和有效连接两个途径实现。
Functional network is new network model. It is similar to artificial neural network and is network expression of functional equation.
泛函网络是类似于人工神经网络的新型网络模型，是泛函方程的网络表达形式。
Functional network is new network model. It is similar to artificial neural network and is network expression of functional equation.
泛函网络是类似于人工神经网络的新型网络模型，是泛函方程的网络表达形式。
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