matlab信息熵代码-ML-in-Diagnose-:ML诊断
matlab信息熵代码
校创-利用机器学习实现“烟雾病”诊断
说明
该仓库用于
兰州大学-物理科学与技术学院-ML校创项目
使用
成员：钮博恒、魏弘量、吴若岑、王悦晨、张峰瑞
本次校创旨在
从具体的项目中，相互学习。大家应该都是第一次参与校创/使用GitHub合作，如有任何建议或问题，均可以在仓库专门区域，或者是qq群中提出:beaming_face_with_smiling_eyes:
4月2日更新
我跟俞老师联系了一下，他表示确实需要计算多种熵，所以目前主要在于搜集熵计算方法，不仅要了解算法，还要给出代码实现。我们最后拿到的是3+1维（空间+时间）的时间序列，熵算法分为时域和频域，所以还涉及到数值傅里叶变换，这个后面再说。我大概查了下，表格中给出的算法基本上在谷歌上可以查到具体的代码，但是读懂原理，理解代码可能还是比较费劲。
现分配如下：
钮博恒和王悦晨：Time
domain
entropy全部
吴若岑：Renyi
entropy
魏弘量：Spectral
entropy
张峰瑞：Tsallis
entropy
文章我已经查了一些了，在article文件夹里，可以直接参考。大家查的时候依据自己搜索习惯来查吧，知网啥的我没去看。
最后以md文
文件下载
资源详情
[{"title":"（ 75 个子文件 18.08MB ） matlab信息熵代码-ML-in-Diagnose-:ML诊断","children":[{"title":"ML-in-Diagnose--master","children":[{"title":"data_process","children":[{"title":"AALload.m <span style='color:#111;'> 357B </span>","children":null,"spread":false},{"title":".DS_Store <span style='color:#111;'> 6.00KB </span>","children":null,"spread":false},{"title":"nmload.m <span style='color:#111;'> 251B </span>","children":null,"spread":false},{"title":"oneregionTest.m <span style='color:#111;'> 459B </span>","children":null,"spread":false}],"spread":true},{"title":"data","children":[{"title":"indtest.m <span style='color:#111;'> 494B </span>","children":null,"spread":false},{"title":"aal42.mat <span style='color:#111;'> 1.20KB </span>","children":null,"spread":false},{"title":".DS_Store <span style='color:#111;'> 6.00KB </span>","children":null,"spread":false},{"title":"example.txt <span style='color:#111;'> 19.34KB </span>","children":null,"spread":false},{"title":"mylin2sub.m <span style='color:#111;'> 769B </span>","children":null,"spread":false}],"spread":true},{"title":"Ideas-Report","children":[{"title":"模糊熵（Fuzzy Entropy）.assets","children":[{"title":"image-20200426214437426.png <span style='color:#111;'> 189.48KB </span>","children":null,"spread":false},{"title":"image-20200426214418206.png <span style='color:#111;'> 161.89KB </span>","children":null,"spread":false}],"spread":true},{"title":"谱熵（Spectral Entropy）.md <span style='color:#111;'> 3.68KB </span>","children":null,"spread":false},{"title":"AAL脑区分类.md <span style='color:#111;'> 518B </span>","children":null,"spread":false},{"title":"approximation entropy.docx <span style='color:#111;'> 216.90KB </span>","children":null,"spread":false},{"title":"瑞利熵(Rényi entropy).md <span style='color:#111;'> 7.01KB </span>","children":null,"spread":false},{"title":"sampEntropy.docx <span style='color:#111;'> 327.79KB </span>","children":null,"spread":false},{"title":"permutationEntropy.docx <span style='color:#111;'> 1.22MB </span>","children":null,"spread":false},{"title":".DS_Store <span style='color:#111;'> 8.00KB </span>","children":null,"spread":false},{"title":"模糊熵（Fuzzy Entropy）.md <span style='color:#111;'> 2.55KB </span>","children":null,"spread":false},{"title":"AAL_LIST.PDF <span style='color:#111;'> 59.71KB </span>","children":null,"spread":false},{"title":"样本熵（Sample Entropy） .md <span style='color:#111;'> 2.04KB </span>","children":null,"spread":false},{"title":"Iwann13_oasis_aal_draft.pdf <span style='color:#111;'> 1.42MB </span>","children":null,"spread":false},{"title":"第一篇论文阅读总结.md <span style='color:#111;'> 3.43KB </span>","children":null,"spread":false},{"title":"非广延熵（Tsallis Entropy）.md <span style='color:#111;'> 2.24KB </span>","children":null,"spread":false},{"title":"近似熵（Approximate Entopy）.md <span style='color:#111;'> 2.30KB </span>","children":null,"spread":false}],"spread":false},{"title":"spectrum_entropy.mlx <span style='color:#111;'> 75.41KB </span>","children":null,"spread":false},{"title":"ariticles","children":[{"title":"SpeEn.pdf <span style='color:#111;'> 948.18KB </span>","children":null,"spread":false},{"title":"fuzzy entropy and its applications.pdf <span style='color:#111;'> 2.09MB </span>","children":null,"spread":false},{"title":"ApEn.pdf <span style='color:#111;'> 1.11MB </span>","children":null,"spread":false},{"title":"Entropy_and_information_energy_arithmetic_operatio.pdf <span style='color:#111;'> 340.04KB </span>","children":null,"spread":false},{"title":"ComplexityAnalysisofEEG,MEG,andfMRIinMild Cognitive Impairment and Alzheimer’s Disease A Review.pdf <span style='color:#111;'> 2.60MB </span>","children":null,"spread":false},{"title":"MSEwith-code.pdf <span style='color:#111;'> 459.11KB </span>","children":null,"spread":false},{"title":".DS_Store <span style='color:#111;'> 6.00KB </span>","children":null,"spread":false},{"title":"ApEn-SamEn.pdf <span style='color:#111;'> 505.76KB </span>","children":null,"spread":false},{"title":"PeEn.pdf <span style='color:#111;'> 120.70KB </span>","children":null,"spread":false},{"title":"MSEn.pdf <span style='color:#111;'> 101.69KB </span>","children":null,"spread":false},{"title":"FuEn.pdf <span style='color:#111;'> 468.50KB </span>","children":null,"spread":false},{"title":"Quantitative EEG Markers of Entropy and Auto.pdf <span style='color:#111;'> 4.22MB </span>","children":null,"spread":false},{"title":"Fuzzy_MImatlab官方库.zip <span style='color:#111;'> 3.84KB </span>","children":null,"spread":false},{"title":"Some New Fuzzy Entropy Formulae.pdf <span style='color:#111;'> 183.58KB </span>","children":null,"spread":false},{"title":"Automated Multiclass Classification of Spontaneous.pdf <span style='color:#111;'> 1.21MB </span>","children":null,"spread":false},{"title":"improved-multiscaelEn.pdf <span style='color:#111;'> 2.88MB </span>","children":null,"spread":false}],"spread":false},{"title":".DS_Store <span style='color:#111;'> 10.00KB </span>","children":null,"spread":false},{"title":"enrtopy_code","children":[{"title":"permutationEntropy","children":[{"title":"pec.m <span style='color:#111;'> 1.04KB </span>","children":null,"spread":false},{"title":"peEn.py <span style='color:#111;'> 3.48KB </span>","children":null,"spread":false},{"title":"permTest.m <span style='color:#111;'> 209B </span>","children":null,"spread":false},{"title":"peEnTest.py <span style='color:#111;'> 257B </span>","children":null,"spread":false},{"title":"MPerm.m <span style='color:#111;'> 1.15KB </span>","children":null,"spread":false}],"spread":true},{"title":"FuzzyEntropy","children":[{"title":"test.m <span style='color:#111;'> 274B </span>","children":null,"spread":false},{"title":"somepoint.jpg <span style='color:#111;'> 58.32KB </span>","children":null,"spread":false},{"title":".DS_Store <span style='color:#111;'> 6.00KB </span>","children":null,"spread":false},{"title":"fuzzyEntropy.m <span style='color:#111;'> 1.67KB </span>","children":null,"spread":false}],"spread":true},{"title":"renyiEntropy","children":[{"title":"renEn.py <span style='color:#111;'> 4.31KB </span>","children":null,"spread":false},{"title":"renEn1.py <span style='color:#111;'> 1.29KB </span>","children":null,"spread":false},{"title":"renEnTest.py <span style='color:#111;'> 304B </span>","children":null,"spread":false},{"title":"example.txt <span style='color:#111;'> 19.34KB </span>","children":null,"spread":false}],"spread":true},{"title":"sampleEntropy","children":[{"title":"sampen.m <span style='color:#111;'> 4.31KB </span>","children":null,"spread":false},{"title":"samptest.m <span style='color:#111;'> 397B </span>","children":null,"spread":false},{"title":"__pycache__","children":[{"title":"sampEn.cpython-37.pyc <span style='color:#111;'> 1.24KB </span>","children":null,"spread":false}],"spread":true},{"title":"multiscaleSampleEntropy.m <span style='color:#111;'> 939B </span>","children":null,"spread":false},{"title":".DS_Store <span style='color:#111;'> 6.00KB </span>","children":null,"spread":false},{"title":"sampEn.py <span style='color:#111;'> 637B </span>","children":null,"spread":false},{"title":"example.txt <span style='color:#111;'> 19.34KB </span>","children":null,"spread":false},{"title":"sampenTest.py <span style='color:#111;'> 646B </span>","children":null,"spread":false}],"spread":true},{"title":".DS_Store <span style='color:#111;'> 10.00KB </span>","children":null,"spread":false},{"title":"Spectrum_Entropy","children":[{"title":"测试penentropy函数.md <span style='color:#111;'> 562B </span>","children":null,"spread":false},{"title":"spectrum_entropy.mlx <span style='color:#111;'> 75.41KB </span>","children":null,"spread":false}],"spread":true},{"title":"Tsallis entropy","children":[{"title":".DS_Store <span style='color:#111;'> 6.00KB </span>","children":null,"spread":false},{"title":"calcu.m <span style='color:#111;'> 357B </span>","children":null,"spread":false},{"title":"otheroptions","children":[{"title":"R语言一个计算种群丰富度的TsEn算法 <span style='color:#111;'> 40B </span>","children":null,"spread":false}],"spread":false},{"title":"tsen.m <span style='color:#111;'> 558B </span>","children":null,"spread":false}],"spread":true},{"title":"approximateEntropy","children":[{"title":"appEntropy.m <span style='color:#111;'> 235B </span>","children":null,"spread":false},{"title":"appEn.py <span style='color:#111;'> 505B </span>","children":null,"spread":false},{"title":"apenTest.py <span style='color:#111;'> 468B </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"README.md <span style='color:#111;'> 5.39KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}]
评论信息
其他资源
- 基于c#、wpf的串口调试助手
- PIC单片机C语言编译器picc编译器picc18PRO适用于PIC18系列单片机,含注册机
- 原理详解_三点解算两个坐标系之间的旋转矩阵和平移向量
- 基于STM32的电子琴设计
- QPainter 与QML SceneGraph绘制效率对比测试
- 基于OpenGL实现的各种粒子特效
- praat 语音软件使用手册
- Windows10 远程桌面 多用户同时登陆 补丁
- 软件工程文档模板（立项建议书,软件项目投标书,软件产品开发任务书,软件开发计划书,用户需求报告,需求规格说明书,需求报告 / 需求规格说明书评审记录表,概要设计说明书,详细设计说明书,用户使用手册,用户安装手册,测试报）
- android移动应用开发【简易计算器】
- stm32 原理图库以及封装库
- SerialCommit.rar
- Xilinx_Vivado_SDK_Web_2017.4_1216_1_Win64.exe
- test2-boostrrap-源码
- RFID 公务机行李包管理系统2019.07.17.pdf
- 计算机二级c编程题过关必背
- WebGL可视化3D绘图框架：Three.js 零基础上手实战.txt
- 亚像素定位
- 全球国家和地区代码mysql 已经和国内区域互通
- 苏州大学中文信息处理试卷及答案
- pimcsd_toolbox
- 树形导航模板（后台html框架源代码）
- VC 类似迅雷的悬浮窗
免责申明
【只为小站】的资源来自网友分享，仅供学习研究，请务必在下载后24小时内给予删除，不得用于其他任何用途，否则后果自负。基于互联网的特殊性，【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查；无论 【只为小站】 经营者是否已进行审查，用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场，基于网友分享，根据中国法律《信息网络传播权保护条例》第二十二条之规定，若资源存在侵权或相关问题请联系本站客服人员，zhiweidada#qq.com，请把#换成@，本站将给予最大的支持与配合，做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明
本站所有资源不代表本站的观点或立场，基于网友分享，根据中国法律《信息网络传播权保护条例》第二十二条之规定，若资源存在侵权或相关问题请联系本站客服人员，zhiweidada#qq.com，请把#换成@，本站将给予最大的支持与配合，做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明