西门子测试Demo源代码VS2010版

说明：  VCO电路，PSIM模型，有需要请使用。(Voltage Control Oscillator PSIM module)

说明：  jtopo拓扑图的实现,使用JTOPO开源，创建JTOPO应用(JTOPO MASTER,use jtopo source,create my usecase)

一本以python为学习语言的机器学习书，内容详细，很适合python初学者学习(A machine learning book based on Python for learning language is detailed and suitable for Python beginners to learn.)

工业铲车的PLC操作控制,《机电传动控制课程设计》报告-Of industrial forklift operation control PLC

说明：  Bmw f01 7 series LCI introduction technical training documents

Delphi源码编写的屏幕放大镜，可以把屏幕上的文字和图片放大显示，在Windows中被列为辅助功能。放大的内容是按比例放大。拖动滑块可改变放大位数，使用时，晃动鼠标到其它需要放大内容的地方即可，在放大镜窗口中即可看到放大后的图像。

newmark通过迭代激起结构动力响应，包括速度、位移、加速度(newmark inspire dynamic response)

说明：  为了提升配网供电可靠性的预测精度!提出了基于主成分分析和粒子群优化极限学习机的配网供电可靠 性预测模型$ 从多方面分析影响供电可靠性的指标!利用主成分分析得到综合变量!实现对数据的降维$ 在此基 础上!构建人工神经网络并利用粒子群算法优化极限学习机的输入权值和阈值!完成对训练供电可靠性预测模型 的训练$ 以某大型电网的 ?L 个供电局样本 !% 种影响供电可靠性因素为例进行仿真分析!并将 E S R C E FQ C 4 G D算 法与 ! 种回归拟合算法对比!验证了该方法的有效性(It is clear that the learning speed of feedforward neural networks is in general far slower than required and it has been a major bottleneck in their applications for past decades. Two key reasons behind may be: (1) the slow gradient-based learning algorithms are extensively used to train neural networks, and (2) all the parameters of the networks are tuned iteratively by using such learning algorithms. Unlike these conventional implementations, this paper proposes a new learning algorithm called extreme learning machine (ELM) for single-hidden layer feedforward neural networks (SLFNs) which randomly chooses hidden nodes and analytically determines the output weights of SLFNs. In theory, this algorithm tends to provide good generalization performance at extremely fast learning speed. The experimental results based on a few artificial and real benchmark function approximation and classification problems including very large complex applications show that the new algorithm can p)

说明：  提出了一种基于改进最优流和遗传算法的配电网重构算法.该算法先利用配电网的同胚图将重构问题的全局寻优空间划分为若干子空间,然后利用改进最优流法寻找子空间内的最优解,之后再利用遗传算法搜索全局最优解所在的子空间,从而实现在局部最优解中寻找全局最优解.(A distribution network reconfiguration algorithm based on improved optimal flow and genetic algorithm is proposed. First, the global optimization space of the reconfiguration problem is divided into several subspaces by using the homeomorphic graph of the distribution network. Then, the improved optimal flow method is used to find the optimal solution in the subspace. Then, the genetic algorithm is used to search the subspace where the global optimal solution is located, so as to find the global optimal solution in the local optimal solution. The optimal solution.)

快手指定ID采集视频，批量下载.快手指定ID采集视频，是做小视频必备工具(The quick hand specifies the ID to collect video and batch download. The fast hand specifies ID to collect video. It is a necessary tool for making small video.)