python-dbn绝对能调通

大一学生用纯c语言编写打字游戏，内容简单易懂，但是功能也很齐全，很人性化，适合初学者参考

V-M双闭环不可逆直流调速系统设计 1．技术要求： (1) 该调速系统能进行平滑的速度调节，负载电机不可逆运行，具有较宽的调速范围（D≥10），系统在工作范围内能稳定工作 (2) 系统静特性良好，无静差（静差率s≤2） (3) 动态性能指标：转速超调量δn＜8%，电流超调量δi＜5%，动态速降Δn≤8-10%，调速系统的过渡过程时间（调节时间）ts≤1s (4) 系统在5%负载以上变化的运行范围内电流连续 (5) 调速系统中设置有过电压、过电流等保护，并且有制动措施2．设计内容：(1) 根据题目的技术要求，分析论证并确定主电路的结构型式和闭环调速系统的组成，画出系统组成的原理框

JAVA做的学生成绩管理系统，SWING做的界面。SQLServer数据库.初学JAVA，如果有见到我程序的朋友，见笑了。偶是菜鸟，对JAVA只有一点认识。热爱JAVA的朋友，共同学习进步啦！祝愿大家都学好JAVA

稀疏自编码深度学习的Matlab实现，sparse Auto coding，Matlab codetrain, m/7% CS294A/CS294W Programming Assignment Starter CodeInstructions%%%This file contains code that helps you get started ontheprogramming assignment. You will need to complete thecode in sampleIMAgEsml sparseAutoencoder Cost m and computeNumericalGradientml For the purpose of completing the assignment, you domot need tochange the code in this filecurer:YiBinYUyuyibintony@163.com,WuYiUniversityning, MATLAB Code for Sparse Autoencodtrain.m∥%%========%6% STEP 0: Here we provide the relevant parameters valuesthat willl allow your sparse autoencoder to get good filters; youdo not need to9 change the parameters belowvisibleSize =8*8; number of input unitshiddensize 25number of hidden unitssparsity Param =0.01; desired average activation ofthe hidden units7 (This was denoted by the greek alpharho, which looks like a lower-case pcurer:YiBinYUyuyibintony@163.com,WuYiUniversityning, MATLAB Code for Sparse Autoencod4/57train.,m∥in the lecture notes)1 ambda=0.0001%o weight decay parameterbeta 3%o weight of sparsity penalty term%%==:79 STEP 1: Implement sampleIMAGESAfter implementing sampleIMAGES, the display_networkcommand shouldfo display a random sample of 200 patches from the datasetpatches sampleIMAgES;display_network(patches(:, randi(size(patches, 2), 204, 1)), 8)%为产生一个204维的列向量,每一维的值为0~10000curer:YiBinYUyuyibintony@163.com,WuYiUniversityning, MATLAB Code for Sparse Autoencod5/57train.m/v%中的随机数,说明是随机取204个 patch来显示%o Obtain random parameters thetatheta= initializeParameters ( hiddenSize, visibleSize)%%=============三三三三====================================97 STEP 2: Implement sparseAutoencoder CostYou can implement all of the components (squared errorcost, weight decay termsparsity penalty) in the cost function at once, butit may be easier to do%o it step-by-step and run gradient checking (see STEP3 after each stepWecurer:YiBinYUyuyibintony@163.com,WuYiUniversityning, MATLAB Code for Sparse Autoencod6/57train. m vb suggest implementing the sparseAutoencoder Cost functionusing the following steps(a) Implement forward propagation in your neural networland implement the%squared error term of the cost function. Implementbackpropagation tocompute the derivatives. Then (using lambda=beta=(run gradient Checking%to verify that the calculations corresponding tothe squared error costterm are correctcurer:YiBinYUyuyibintony@163.com,WuYiUniversityning, MATLAB Code for Sparse Autoencod7/57train. m vl(b) Add in the weight decay term (in both the cost funcand the derivativecalculations), then re-run Gradient Checking toverify correctnessl (c) Add in the sparsity penalty term, then re-run gradiChecking toverify correctnessFeel free to change the training settings when debuggingyour%o code. (For example, reducing the training set sizecurer:YiBinYUyuyibintony@163.com,WuYiUniversityning, MATLAB Code for Sparse Autoencod8/57train m vl/number of hidden units may make your code run fasterand setting betaand/or lambda to zero may be helpful for debuggingHowever, in yourfinal submission of the visualized weights, please useparameters web gave in Step 0 abovecoS七grad]sparseAutoencoderCost(theta, visibleSize,hiddensize, lambda,sparsityParam, beta,patches)二〓二二二二二二二〓二〓二〓二〓=二====〓=curer:YiBinYUyuyibintony@163.com,WuYiUniversityning, MATLAB Code for Sparse Autoencod9/57train.m vlll96% STeP 3: Gradient CheckingHint: If you are debugging your code, performing gradienchecking on smaller modelsand smaller training sets (e. g, using only 10 trainingexamples and 1-2 hiddenunits) may speed things upl First, lets make sure your numerical gradient computationis correct for a%o simple function. After you have implemented computeNumerun the followingcheckNumericalGradientocurer:YiBinYUyuyibintony@163.com,WuYiUniversityDeep Learning, MATLAB Code for Sparse Autoencode10/57

异步电机矢量控制变频调速的matlab仿真 双闭环控制 系统仿真

相位法测角的有关程序，可以运行，非常有用，matlab程序

【实例简介】RL-ARM是Keil MDK自带的Real-Time Library，其中包括RTX 内核(Real-Time eXecutive，实时操作系统)、RL-FlashFS(文件系统)、RL-TCPnet(TCP/IP协议栈)、RL-CAN(CAN总线函数库)和RL-USB(USB总线函数库)。还有一个中文的说明文档。

FCM是基本聚类算法，经过验证，此算法很很好的运行。对于初学聚类者来说，此算法很有用

使用python爬虫，利用新浪微博中提供的高级检索功能，用户提供参数，爬虫程序可以请求相应的数据并写入本地。包括标题，时间，地址（如果有），类容。

web动态网页期末课程作业。包括报告+源码。做的是一个论坛系统JSP做的。