1) perception learning rule
感知机学习规则
1.
In this paper,according to the network characteristic and the shortcoming of the existing algorithm,by analyzing the Madaline network work principle and its learning algorithm MRII,propose an improvement algorithm that combines the MRII algorithm and the perception learning rule that will improve the performance of the network learning.
根据Madaline网络工作原理,针对其网络特点和现有算法中存在的缺点,提出将MRⅡ算法与感知机学习规则相结合的改进的学习算法,使每个样本学习后权值的改动尽量小,从而减少它对其它样本学习产生的影响,达到提高网络学习能力的目的。
2) perceptron supervised Hebb learning rule
有感知器监督的Hebb学习规则
3) perceptron training algorithm
感知机学习算法
1.
This paper pointed out some factors comprehended through computer emulation which affect the resolution of MUSIC method, analysed the reasons which make the resolution of MUSIC method lower, and expounded a method for improving the resolution of MUSIC method with the perceptron training algorithm.
文中指出了通过计算机仿真了解到的影响MUSIC测向算法分辨率的一些因素 ,分析了造成MU SIC测向算法计算机仿真的分辨率较低的原因 ,并提出了一种用人工神经网络中的感知机学习算法改善MU SIC测向算法计算机仿真分辨率的方
4) Perceptual learning
感知学习
1.
METHODS: The perceptual learning model was programmed and applied in 29 college students, who were randomly divided into 4 groups (6 students in group 1 and 2 respectively, 7 in group 3 and 10 in group 4).
目的:建立合成语音的感知学习模型并验证该模型的学习效应。
2.
Through perceptual learning training,adult patients with amblyopia can improve visual ability on contrast sensitivity and visual acuity.
通过视知觉感知学习训练,可以在一定程度上提高成人弱视患者的对比敏感度和视觉敏锐度,从而改善视觉缺损状况。
3.
Research models of perceptual learning are very helpful to reveal the intrinsic mechanisms of learning and memory.
针对感知学习的研究模型有助于揭示人类学习和记忆活动的内在机制。
5) 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。
6) 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。
补充资料：部分学习与整体学习
部分学习与整体学习
part learning and whole learning
部分学习与整体学习(part learningand whole learning)在运动学习和记忆学习中，根据对学习内容的处理方式可以分成部分学习和整体学习。部分学习就是将材料分成几个部分，每次学习一个部分:整体学习就是每次学习整个材料。一般来讲，整体学习的效果优于部分学习。但是，课题复杂彼此没有意义联系的材料，用部分学习的效果好:课题简短或具有意义联系的材料，用整体学习的效果好。在进行学习时，可以将部分学习与整体学习结合起来，先进行整体学习再进行部分学习，或者相反。这种相互结合的学习方式叫做综合学习，效果更好些。 (周国帕撰成立夫审)
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