hard disk drive servo control tools, it is very helpful
标签： control helpful drive servo
上传时间： 2013-12-17
上传用户：wangzhen1990
Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making
标签： Intelligence Conference Artificial European
上传时间： 2015-11-07
上传用户：15736969615
COM versus CORBAA Decision Framework！一本介绍应该使用COM还是CORBA的记录文摘！
标签： COM Framework Decision versus
上传时间： 2013-12-03
上传用户：变形金刚
a program that can lock the hard disk
上传时间： 2013-12-18
上传用户：tianjinfan
ID3决策树内容简介： 概述 预备知识 决策树生成(Building Decision Tree) 决策树剪枝(Pruning Decision Tree) 捕捉变化数据的挖掘方法 小结
标签： Decision Tree Building Pruning
上传时间： 2013-12-12
上传用户：上善若水
Decision Tree Decision Tr
上传时间： 2013-12-24
上传用户：jing911003
Convolutional(2,1,6) Encoder and soft decision Viterbi Decoder
标签： Convolutional decision Encoder Decoder
上传时间： 2014-01-01
上传用户：cc1
Convolutional(2,1,6) Encoder and soft decision Viterbi Decoder 刚才上载的有错误,已修正
标签： Convolutional decision Encoder Decoder
上传时间： 2016-01-14
上传用户：hoperingcong
How the K-mean Cluster work Step 1. Begin with a decision the value of k = number of clusters Step 2. Put any initial partition that classifies the data into k clusters. You may assign the training samples randomly, or systematically as the following: Take the first k training sample as single-element clusters Assign each of the remaining (N-k) training sample to the cluster with the nearest centroid. After each assignment, recomputed the centroid of the gaining cluster. Step 3 . Take each sample in sequence and compute its distance from the centroid of each of the clusters. If a sample is not currently in the cluster with the closest centroid, switch this sample to that cluster and update the centroid of the cluster gaining the new sample and the cluster losing the sample. Step 4 . Repeat step 3 until convergence is achieved, that is until a pass through the training sample causes no new assignments.
标签： the decision clusters Cluster
上传时间： 2013-12-21
上传用户：gxmm
主要是KNN（the k-nearest neighbor algorithm ）,LVQ1（learning vector quantization 1）, DSM（decision surface mapping）算法。 and a simple clustering algorithm.
标签： quantization k-nearest algorithm decision
上传时间： 2016-02-07
上传用户：zhyiroy
