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1)  Batch-SOM
批处理无监督学习
2)  unsupervised learning
无监督学习
1.
Intelligent fire detection based on unsupervised learning clustering algorithm of Dignet
基于Dignet无监督学习聚类算法的智能火灾探测
2.
The learning of connectionism,which consists mainly of supervised learning,intensive learning and unsupervised learning,is modelled after the learning of human beings.
其学习是对人类学习的模拟,主要有监督学习、强化学习和无监督学习三种。
3.
The result of the feature selection in unsupervised learning is not as satisfactory as that in supervised learning.
无监督学习环境下的特征选择往往无法取得像有监督学习环境下那样令人满意的效果。
3)  supervised learning
监督学习
1.
Land evaluation based on agglomerative hierarchical cluster algorithm combining with supervised learning algorithm;
融合监督学习与凝聚层次聚类的土地评价方法
2.
Aimed at the problem of electroencephalography(EEG) pattern recognition in brain computer interfaces(BCIs),a classification method based on probabilistic neural network(PNN) with supervised learning was presented.
针对脑机接口(BCI)研究中脑电信号(EEG)的模式识别问题,提出了一种基于有监督学习的概率神经网络(PNN)的分类方法。
3.
The learning of connectionism,which consists mainly of supervised learning,intensive learning and unsupervised learning,is modelled after the learning of human beings.
其学习是对人类学习的模拟,主要有监督学习、强化学习和无监督学习三种。
4)  supervision over the processing
处理监督
1.
After the review of general situation and status of supervision over the processing of seismic data and the successful experiences of supervision,the explanation focuses on the functions,running approaches and developing orientation of supervision over the data process.
回顾了地震资料处理监督工作的发展概况与现状,以及处理监督工作的成功经验。
5)  supervision and handling
监督处理
6)  Unsupervised learning ANN
无监督学习神经网络
补充资料:无监督学习
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性质:在模式识别或自动分类中,所给的学习样本不带有类别的信息,而是根据随机变量本身统计特征来进行分类的算法,称为无监督学习或无监督分析(unsupervised analysis)。聚类分析就是一种无监督分析。

说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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