79419109ins-gps

说明：  利用python 构造人工神经网络 做时间序列预测分析(Time series prediction based on artificial neural network)

很好的入门案例，英文的，能看懂，对初学者很有帮助(Entry case in English, can read and understand, very helpful for beginners)

python编写，实现股票预测，在anaconda下运行(Python compiles, realizes stock forecast, and runs under Anaconda)

vc6.0编译通过.-vc6.0 compile.

RDM协议标准的图文说明,希望对有些朋友有所帮助-RDM graphic protocol standards, hoping for some help to Friend

说明：  K3工业插件二次开发billform常用公开的方法和属性(Common public methods and attributes of billform for secondary development of K3 industrial plug-ins)

说明：  5G Toolbox? Getting Started Guide,5G工具箱(5G Toolbox Getting started guide,matlab 5g toolbox)

说明：  270V直流无刷电动机调速系统设计，性能可自行调试，也可直接使用调试好的参数。(270V brushless DC motor speed control system design, the performance can be adjusted by itself, or directly use the parameters adjusted.)

说明：  指定预测变量的惩罚样条基础。这是通过拟合一组相对较小的样条并惩罚积分二阶导数来完成的。传统的平滑样条曲线每次观察使用一个基础，但是一些作者指出，对于大于自由度的2-3倍的任何数量的基函数，拟合的最终结果是难以区分的。Eilers和Marx指出，如果基函数是均匀间隔的，这会导致显着的计算简化，它们将结果称为p样条。(Specifies a penalised spline basis for the predictor. This is done by fitting a comparatively small set of splines and penalising the integrated second derivative. Traditional smoothing splines use one basis per observation, but several authors have pointed out that the final results of the fit are indistinguishable for any number of basis functions greater than about 2-3 times the degrees of freedom. Eilers and Marx point out that if the basis functions are evenly spaced, this leads to significant computational simplification, they refer to the result as a p-spline.)

说明：  IGBT的matlab仿真与实现，更深刻理解IGBT的工作原理，便于实际应用。(IGBT' s matlab simulation and realization of a deeper understanding of the working principle of IGBT, easy practical application.)