基于HMM的姿势识别 matlab代码

ANSYS Workbench 有限元分析实例详解 动力学_14612515.pdf

其他版本可以去我空间查看。CIFAR-10数据集由10个类中的60000个32x32彩色图像组成，每个类有6000个图像。有50000个训练图像和10000个测试图像。 数据集分为五个训练批次和一个测试批次，每个批次有10000个图像。测试批次包含来自每个类别的1000个随机选择的图像。训练批次以随机顺序包含剩余图像，但是一些训练批次可能包含来自一个类别的更多图像而不是另一个类别。在他们之间，培训批次包含来自每个班级的5000个图像。

可以实现把多个图像快速合并成一张图片，源码，有图片可供直接实验

Simplorer V9的培训资料，非常详细，一共407页的PDF，看完这个PDF，相信你已经是simplorer高手了。Conventions Used in this GuideGetting HelpAnsoft Technical SupportHelp MenuContext-Sensitive Help1. IntroductionOverview of the Simplorer Interface .........1-32. Creating a New ProjectAbout the three-Phase rectifier2-2Expected Results2-3Using Simplorer to Create and Improve the Design2-4Creating the new project2-5Add the New project2-5Rename the designAdd Design Notes(Optional)Save the New project2-73. Create the rectifier modelCreate the Three-Phase rectifier Schematic. 3-2Choosing, Placing, and Arranging Components onthe schematic she.3-3Connecting the Components3-8Defining Component Properties3-9Property Displays for Components3-13Specifying simulation Outputs.3-16Defining Solution Options and Analysis Parameters3-18Starting an Analysis3-19Plotting Rectifier Model Simulation Results3-204. Hysteresis Current-Controlled DC-Motor Start-UpModify the Rectifier Model Design.4-2Deleting the Resistive/Inductive Load,4-3Saving the sheet with a New Name4-3Place and Arrange the New Components4-4Connect the New Components.,,,,,,4-5Defining dc Machine valuesDefining Mechanical Load4-7Freewheeling Diode4-8Chopper Transistor4-8Controller Modeling using block elements..4-9Modifying Report Elements...4-11Display Diode CharacteristicDefining Simulation Parameters.4-13Starting Simulation(Block Components.4-13Simulation Results(Block Components)... 4-14Controller Modeling Using State Graph Components4-15Connecting the State Graph Components4-16Defining Properties of State Graph Components 4-Using Name References4-19Deactivating Components on the sheet4-19Starting Simulation(State Graph)...4-21Simulation Results(State Graph)4-225. Current and Speed Controlled Dc MotorModify the State graph design5-2Deleting the State GraphSaving the sheet with a New namePlacing and Arranging the New Block Componentson the sheet5-4Connecting the New ComponentsDefining Mechanical Load (Block)Defining the pl controller.........5-8Starting Simulation..5-12Adding a Rectangular Plot(Pl Controller)... 5-13Adjusting Plot Properties.5-14Checking the block Sequence..5-16Using Automatic Block Sorting5-16Using Manual Block Sorting5-16Rerun the Simulation(PI Controller)Simulation Results(PI Controller)5-176. Using VHDL-AMS Components forModelingVHDL-AMS Components,,,,.6-2Modify the pl controller Design.6-3Save the project with a new name6-3Delete the dc Machine component6-4Placing and Arranging the New VHDL-AMs Components on the sheet6-4Connecting the New VHDL-AMS Components 6-4Defining VHDL-AMS DC Machine values6-4Defining Connections for Machine Current..6-5Defining Simulation ParametersAnalyze and Display Simulation Results(VHDLAMS6-67. Variants of PWM ModelingPWM Modeling Overview7-2Create a New Project for the pWm models ..7-3Setting Initial ConditionsPWM Modeling Using EquationsDefining Simulation Parameters7-4Displaying Simulation Results with Reports 7-4Simulation results 7-6PWM Modeling with Equations and Time Function7-6PWM Modeling with State Graph Components 7-8Place and arrange the components on the sheet7-8Define Component properties翻国7-9PWM Modeling with Block Diagram Components 7Placing and Arranging the Components on theSheet7-118. Importing Legacy SchematicsTranslating a Legacy Schematic..8-2Importing the legacy Schematic8-2Starting an analysis...,,8-6Plotting Simulation Results8-7Estimated time tooplete this guide45 minutes

普通最小二乘法回归_源码数据包含 数据集 Cal_housing.csv ，源码 ExistData.py ，SimulateData.py

可以读取文本文档，将散乱的大量三维点云数据显示出来，并进行，平移旋转等。

libstdc++-3.4.6-9.x86_64.rpmORACLE安装可能需要的依赖包

主要功能房屋中介管理系统是一款非常实用的房屋中介软件。使用该软件，不仅可以详细地记录房源信息、用户信息等，同时还能够自动查找和客户需求相匹配的房源，在方便客户的同时又提高了使用者的工作质量和效率。本系统属于小型的数据库系统，可以对房源和租赁人等进行有效的管理。业务流程在使用本系统时，请按照以下流程进行操作：（1）选择“员工信息”/“录入员工信息”菜单项，在弹出的模块中添加员工信息。（2）选择“员工信息”/“所有员工信息”菜单项，在弹出的模块中可以查看、修改、删除所有员工信息。在“权限”下拉列表中有两个选项，其中“经理”代表管理员，“员工”代表普通用户。管理员与普通用户的区别在于，普通

pdf文档，中文来源：华北电力大学学报242007[11997199811.2199910.88408200.68000.47800.2掩76072007000100120时间/天68040100120图3训练过程中的误差变化时间/天Fig.3 Errors during training图1日负荷预测时洲练数据4Fig. 1 Training data for day load for ecas ting35←只51.5050-10203040如0的070809010101200.8时间压图4训练过程中神经元个数变化Fig 4 Grow th of neurons during train ing0.200.95系0.940.8505101520253035滞后时间/天如0.80.75图2训练数据的自相关系数Fig. 2 Autocorrelation coefficients of training dat a(a拟合曲线0.〔(3)10.040.0系70/14060[1000000]时间/天(b拟合误差「O1000001图5训练结果及误差Fig. 5 Result and error of train in3- EBF6,C1994-2012cHinaAcademicJournalElectronicPublishingHouse.Allrightsreservedhttp://www.cnki.net4EUNITE2582080078076074072026.26700(3)66005101520253035时间/天50/1[00001图6日最大负荷预测结果[01010]26ig. 6 Result of forFrecasting g1 SOFNN[716.2,739.7,757.7,781.3],7Tab 1 Accuracy of training and forecast ing[720.1,738.2,763.7,MethodMAPE/ (%O) ME767.7],7SOFNN1.3344.137901.7850.04780EUNITE1.95E770760winner750报告中ME值没有准确堤供,但可以从报告中估轵740计得出约50~60完整的 EUNITE网络竟赛原始数据可730从EUNITE网站获得(http://neuron.tuke.sk/compe-720tit ion/ index. php)7103354EUNITEMAPE时间1.95[2]图7周平均最大负荷预测结果3.2Fig. 7 Forecasting result of week average max loadSOFNNSOFNNWSj72SOF NNWLWLideltaWli, delta WLi=WLj-Wli(3h:× delt al+k× deltal wj,Yh=0.58o1994-2012ChinaAcademicJournalElectronicPublishingHouse.Allrightsreservedhttp:/www.cnki.net262007820[1] Chen B J, Chang M W, Lin C J. Load forecasting using800support vector machines: a study on eunitE com-780tion 2001[J]. IEEE transactions on power systems7602004.19(4):1821-1830[2] Company behind East- Slov akia Power Distrib ution740Com panWorle w ide com petition w ithin the EU720NITE network, EUNITE competiton report [RI700[3]6802004.28(17):1-1105101520253035[4 Leng g, Prasad g, McGinnity T M. An on line algor-时间/天rithm for creating self organ izing fuzzy neural networ ks图8修正后的日最大负荷预测结果Neural Netw orks, 2004,(17): 1477-1493[5 Ort iz: Arroyo D, Skov M K, Huynh Q. Accurate Elee-F ig.8 Forecasting results after rev sedtricity Load Forecasting with Artificial Neur al NetworksIC. Proceedings of the 2005 International Conference2SOFNNon Compu tat io nal Intel ligence for M odel ling, Control andTah 2 Accuracy of forecast ingAuto mation. and International Conference on I ntelligentMethodMAPE/(%)MEAgents, Web Technolo gies and Internet CommerceSOFNN1.7850.04(CIMCAIA WTIC 05). 20051.5941.95[ 6] Tao X. Input dimens ion reduction for load forecastingEUNITE1.9550-60based on support vector machines [C]. Hong Kong82004 IEEE International Conference of Electric U til yderegulation, res tructur ing and pow er technolog iesMAPE ME20[7 Hsu CC. Dynam icall y Optim izing Parameters in SupportVector Regression An A pp licat io n of Electricity Load4结论Forecasting [C]. Haw aii: Proceedings of the 3 9thIlaw aii International Conference on System Sciences199918 Pan kratz A. Forecasting w ith Univariate Box-JenkinsModels [m. John Wiley sons, 1983SOFNN(1972-),,C1994-2012cHinaAcademicJournalElectronicPublishingHouse.Allrightsreservedhttp://www.cnki.net

NeHe的全部48个OpenGL例子，内有详细注解，十分值得收藏。本人将48个例子（除了第35个例子，用了Qt5的视频），全部编译生成了执行程序大家可以运行看看有没有自己想学的。