1) supervised ellipsoid clustering
监督椭球聚类学习
2) Supervised learning classification
有监督学习分类
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) Supervised clustering
监督聚类
1.
This paper presents a new supervised clustering method The algorithm is based on the information related t o both the global and local distributions of training samples,avoiding the expensive computation and local minimum of traditional neural networks Unknow n patterns can also be recognized The simulation results demonstrate the soun dness of this approac
本文提出了一种新的监督聚类学习方法。
5) monitoring learning
监督性学习
6) unsupervised learning
非监督学习
1.
Accelerating the Training of Feedforward Neural Networks Using Improving Unsupervised Learning Principle;
用改进的非监督学习方法加速前馈神经网络的训练
2.
Image object′s semantic hierarchy and its unsupervised learning algrithm
图像目标语义层级结构及其非监督学习算法
3.
Experiments show that these unsupervised learning methods had different characters in classifying land use/cover of remote sensing.
结果表明三种非监督学习方法在进行遥感土地利用/覆盖分类过程中,在分类性能上有显著差异。
补充资料：参考椭球(见地球椭球)
参考椭球(见地球椭球)
reference ellipsoid
eankao tU0qlu参考椭球(referenee ellipsoid)见地沐椭球
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