2) Hebbian rules
Hebbian规则
1.
In this paper, the Hebbian rules of neural network are applied to the linearprediction analyzing.
本文把神经网络中的Hebbian规则用于线性预测的分析中,得到了一种求解线性预测系数（LPC）的随机近似算法。
3) Hebbian learning
Hebbian学习
1.
This algorithm adopts P2P architecture, and strengthens connections between learners with similar interests based on improved Hebbian learning law.
该算法采用P2P的架构,通过改进的Hebbian学习法则不断加强具有类似兴趣的学习者之间的联系,从而自动调整社区结构,最终将具有类似兴趣的学习者组织在一起。
4) learning rule
学习规则
1.
Discovering New Neural Network Learning Rule Based on Genetic Programming;
基于GP的神经网络学习规则的发现
2.
The weights of the principal component neural networks are trained with the aid of the algorithm of generalized Hebbian learning rule, and the input vectors of the local spatial features and image pixels value are transformed into feature vectors which are once clustered by Kmeans classifier, the road surface and unroad surface can be distinguish.
该方法用广义Hebb学习规则训练主元神经网络权值,然后将局部统计特征和图像像素值输入主元神经网络得到图像特征矢量,最后用K 均值分类器对该矢量进行分类,通过参考区域识别道路。
3.
In this neural network training, the author applied an error back-propagation gradient descending search technique successfully, and then proposed a new learning rule for multiple pattern pairs fuzzy associative memories in single FAM and its efficiency has been confirmed by computer imitations.
本文给出了模糊联想记忆神经网络联想输出误差函数的一种梯度计算方法,成功地把误差逆传播梯度下降搜索技术应用于该网络的训练中,提出一种新的多模式对模糊联想记忆的学习规则,计算机模拟表明该规则是十分有效的。
5) rules learning
规则学习
1.
The rules are made up by the method of rules learning,which can strengthen the portability of the system.
采用学习的方式来进行规则的生成,这种规则学习的方式使系统的可移植性大大增强。
6) rule learning
规则学习
1.
Based on the in-deep research on inductive learning theory, a rule learning algorithm is applied in building the intrusion detection model.
在对归纳学习理论深入研究的基础上,将规则学习算法应用到入侵检测建模中。
补充资料：“词典编辑”规则
“词典编辑”规则
lexicographic rule
“词典编辑，，规则(lexicographie rule)非补偿性决策策略的一种。首先按感觉到的相关性或重要性将产品特性进行排序;然后在最重要的特性上对不同商标进行比较，该特性分数最高者中选。若在最重要特性上有两个以上商标产品满足要求，再在次要特性上进行比较、选择，直到只有一个商标被选中为止。 (张玉峰撰马谋超审)
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条