A neural net that USES this rule is known as a perceptron, and this rule is called the perceptron learning rule.
一个使用这个规则的神经网络称为感知器，并且这个规则被称为感知器学习规则。
The feedback network designed by the learning rule has some very interesting dynamical behaviour.
采用这种学习规则训练的反馈网络有许多非常有趣的动力学性质。
A minor component analysis (MCA) learning rule is presented which includes a penalty term on the self-stabilizing MCA learning rule.
基于自稳定次元分析学习规则，提出一种添加了惩罚项的次元分析(MCA)学习规则。
We provide the architecture and learning rule of the quantizing network, and compare it with the traditional method in the implementation.
本文针对语音多脉冲激励模型，提出了量化网络的结构和学习规则，并将此方法和传统方法进行了比较。
Fault diagnosis model and learning rule of RBF ANN is studied. Fault diagnosis principle and step of RBF ANN based on rough sets theory is given.
研究了RBF神经网络故障诊断模型及学习规则，给出了基于粗糙集理论的RBF神经网络故障诊断原理和步骤。
According to the learning and control ways of Neuron, this paper presents a modified method, which is based on the guiding factor, for the learning rule of neural controller.
本文通过对神经元学习规则的探讨，提出了一种基于引导因子的神经元改进学习规则，并将其用于实际控制系统中。
This paper proposes a new type position controller with neural network structure, gives it 's learning rule, and do the simulation experiment on position servo system of NC machine.
本文提出了一种新型的神经网络结构的位置控制器，给出了该控制器的学习算法，并进行了数控机床位置伺服系统的仿真实验。
Its learning rule is to use the steepest descent method, by back-propagation network to continuously adjust the weights and thresholds, so the network and the minimum sum of squared errors.
它的学习规则是使用最速下降法，通过反向传播来不断调整网络的权值和阈值，使网络的误差平方和最小。
Its learning rule is to use the steepest descent method, by back-propagation network to continuously adjust the weights and thresholds, so the network and the minimum sum of squared errors.
它的学习规则是使用最速下降法，通过反向传播来不断调整网络的权值和阈值，使网络的误差平方和最小。
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