Neural networks have several different topologies, but the simplest is known as a feedforward network.
神经网络有几种不同的拓扑结构，但是最简单的一种是前馈网络。
Radial Basis Function Neural network is an effective feedforward network. It has high convergence rate and high approaching precision, and can avoid local optima.
径向基函数神经网络是其中的一类非常有效的前馈网络，具有收敛速度快、逼近精度高、可避免局部最小等优越性。
The prediction accuracy is guaranteed by the interpolation ability of the feedforward network.
预测准确度由前馈网络的插值能力保证。
A new second order recursive learning algorithm to multilayer feedforward network is proposed.
提出了多层前向神经网络的新型二阶递推学习算法。
A correlation immunity is a capability of feedforward network stream ciphers resisting correlation attacks.
相关免疫是前馈网络流密码抵抗相关攻击的一种能力。
Some problems in the research of multilayer feedforward network are pointed out.
对当前前向网络研究中的一些问题提出了看法。
RBF neural network is a three-layer feedforward network and can be used to identify nonlinear model effectively.
RBF神经网络是一种三层前向网络，可有效用来进行非线性模型的辨识。
The neural network used is called DLF network, which is the combination of multilayer feedforward network with linear model.
所采用的网络为一种将线性模型与多层前向网络相结合的DLF网络。
Based on gradient algorithm and the fundamental approximation of feedforward network, a new supervised comprehensive training mechanism is put forward.
基于梯度算法和前馈网络所具有的普遍近似性质，提出了一种新的监督型多目标系统化训练机制。
Comparing with time delayed feedforward network and diagonal recurrent network, output recurrent network shows its advantages in real-time fault detection system.
通过仿真，与前馈时延网络与对角递归网络的比较研究，说明了在实时故障诊断系统中输出递归网络结构的优越性。
In the model, using APEX network extracts classification information and condenses vector space dimensions, making use of feedforward network establishes the classification recognition function.
在诊断模型中，应用APEX网络提取分类信息，压缩向量空间维数，利用前馈网络建立其类型识别函数。
In the model, using APEX network extracts classification information and condenses vector space dimensions, making use of feedforward network establishes the classification recognition function.
在诊断模型中，应用APEX网络提取分类信息，压缩向量空间维数，利用前馈网络建立其类型识别函数。
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