...四川大学硕士学位论文2径向基函数神经网络2．1前馈式神经网络 RBF神经网络是一种前馈式神经网络（Feedforward Neural Networks）。 前馈式神经网络是一种单方向层次网络模块，它包括输入层、输出层和中间隐层。
基于8个网页-相关网页
multilayer feedforward neural networks 馈神经网络
multi-layer feedforward neural networks 多层前向神经元网络
multi-layered feedforward neural networks 多层前馈BP神经网络
Single-hidden layer feedforward neural networks 单隐层前馈神经网络
three-layered feedforward neural networks 三层前馈神经网络
bp feedforward neural networks bp前馈神经网络
layered feedforward neural networks 层前馈神经网络
Binary feedforward neural networks 二进前向网络
nonlinear feedforward neural networks 非线性前馈神经网络
The learning algorithm of neural network has always been an important problem in both research and application fields of artificial neural networks, especially to the study of the learning (design) of feedforward neural networks.
神经网络的学习算法一直是人工神经网络研究和应用领域中的一个重要问题，尤其是对前向神经网络学习算法(设计)的研究。
参考来源 - 对神经网络学习算法的研究In order to overcome the limitations of the static feedforward neural networks, the well-known Hopfield network is adapted so that it is applicable for dynamic system modeling and control.
为克服静态前馈网络的不足，将Hopfield网络进行改造，使之适用于动态系统的控制和建模。
参考来源 - 复杂系统的智能建模与控制Based on the issue of design of feedforward neural networks learning algorithms,a new basic learning rule of feedforward neural networks is proposed, whichexplicitly includes networks parameter learning and implicitly includes networksconstruct learning.
针对前向神经网络学习算法设计问题,提出了一种新的前向神经网络基本学习规则,它显式地包含了网络参数学习和隐式地包含了网络结构学习。
参考来源 - 前向神经网络学习问题研究及其在转台控制中的应用·2,447,543篇论文数据，部分数据来源于NoteExpress
Feedforward neural networks have been widely used in many applications.
前馈神经网络在许多领域有着广泛的应用。
The feedforward neural networks has been greatly used in the nonlinear signals processing.
前馈神经网已经被大量用于非线性信号处理。
The convergence of the gradient algorithm for feedforward neural networks with one output unit has thoroughly studied.
对于单输出前馈神经网络的梯度算法的收敛性已经有了详细的讨论。
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