摘要: template <class DataType>void ProcessMap(std::map<std::string, std::vector<DataType> > &mymapa, std::map<std::string, std::vector<DataType> > &mymapb) 阅读全文
posted @ 2018-11-30 15:16 东宫得臣 阅读(645) 评论(0) 推荐(0) 编辑
摘要: 在电脑上安装PyCharm和Python3,然后把Python3的安装路径写进系统变量里,Python安装完之后, https://bootstrap.pypa.io/get-pip.py,把这页的代码复制出来,拿到python里运行,就可以成功安装 pip3了,然后把pip3的路径写进环境变量,打 阅读全文
posted @ 2018-11-17 10:01 东宫得臣 阅读(163) 评论(0) 推荐(0) 编辑
摘要: Multiplying both sides of this result by wT and adding w0, and making use of y(x)=wTx+w0 and y(xΓ)=wTxΓ+w0=0, we have r=y(x)/||w||. The idea proposed 阅读全文
posted @ 2018-11-12 12:30 东宫得臣 阅读(143) 评论(0) 推荐(0) 编辑
摘要: The issue at hand is to find the parameters wo and bo for the optimal hyperplane, given the training set {(xi,di)}. 阅读全文
posted @ 2018-11-11 21:15 东宫得臣 阅读(314) 评论(0) 推荐(0) 编辑
摘要: Basically, the support vector machine is a binary learning machine with some highly elegant properties. Given a training sample, the support vector ma 阅读全文
posted @ 2018-11-11 10:29 东宫得臣 阅读(148) 评论(0) 推荐(0) 编辑
摘要: When neuron j is located in a hidden layer of the network, there is no specified desired response for that neuron. For this derivative to exist, we re 阅读全文
posted @ 2018-11-09 10:31 东宫得臣 阅读(113) 评论(0) 推荐(0) 编辑
摘要: When neuron j is located in the output layer of the network, it is supplied with a desired response of its own. If neuron j is in the first hidden lay 阅读全文
posted @ 2018-11-09 10:28 东宫得臣 阅读(107) 评论(0) 推荐(0) 编辑
摘要: 阅读全文
posted @ 2018-11-05 13:10 东宫得臣 阅读(93) 评论(0) 推荐(0) 编辑
摘要: An elegant and powerful method for finding maximum likelihood solutions for models with latent variables is called the expectation-maximization algori 阅读全文
posted @ 2018-10-18 21:08 东宫得臣 阅读(142) 评论(0) 推荐(0) 编辑
摘要: 判断port_state是否为Online状态,是的话,读取出port_name,即为wwn。 1 #!/usr/bin/env python3 2 3 # -*- coding: UTF-8 -*- 4 5 import glob 6 import operator 7 import os 8 9 阅读全文
posted @ 2018-10-17 17:07 东宫得臣 阅读(407) 评论(0) 推荐(0) 编辑