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一个不错的数控源码是vb的，很不错的写的，大家可以-NC a good source is vb, and the writing is pretty good, we will look at

说明：  nike销售平台系统，可以方便实体店销售服务，和店长的统计服务，优化，方便，快捷(Nike sales platform system, can facilitate the store sales services, and the shop chief's statistical service, optimization, convenience, quick)

说明：  对脉冲压缩雷达信号处理部分进行matlab仿真。实现脉冲压缩雷达的信号处理主要由A/D采样、正交解调、脉冲压缩、视频积累、恒虚警处理等功能来完成。因此，编写出脉冲压缩雷达信号处理的仿真模型。(The signal processing part of pulse compression radar is simulated by MATLAB. The signal processing of pulse compression radar is mainly completed by a / D sampling, orthogonal demodulation, pulse compression, video accumulation, CFAR processing and other functions. Therefore, the simulation model of pulse compression radar signal processing is compiled.)

用java语言编写的日历程序，欢迎大家下载使用-Using java language calendar procedures, welcomed everyone to download use

PQ-Fiber 是清华大学土木工程系结构工程研究所基于大型通用有限元程序ABAQUS 开 发的一组材料单轴滞回本构模型的集合。主要用于在钢筋混凝土结构、钢结构等的弹塑性时 程分析中定义杆系结构的材料本构，同时可用于任何只需要定义材料单轴滞回本构模型的情 况。 作者以 FORTRAN 编译文件.obj 的形式在网上免费发布PQ-Fiber 的最新版本，以供广 大科研与工程设计人员使用，发布的版本没有功能限制。请使用者尊重知识产权，(PQ-Fiber is a Structural Engineering Research Institute of Civil Engineering Department of Tsinghua University. It is based on the large general finite element program ABAQUS. A set of uniaxial hysteretic constitutive models is set up. It is mainly used for elastic-plastic properties of reinforced concrete structures and steel structures. In the process analysis, the material constitutive equation of the bar structure is defined, and it can be used for any material requiring only a uniaxial hysteretic constitutive model. The situation. The author releases the latest version of PQ-Fiber on the Internet for free in the form of FORTRAN compiler.Obj. The use of large research and engineering designers has no functional limitations. Invites users to respect intellectual property rights,)

说明：  slip angle estimator

说明：  这个程序只是简单配置了一下硬件哈，程序也只是简单弄了一下(This program is just a simple configuration of hardware, and the program is just a simple one.)

说明：  用N来表示训练用例（样本）的个数，M表示特征数目。 输入特征数目m，用于确定决策树上一个节点的决策结果；其中m应远小于M。 从N个训练用例（样本）中以有放回抽样的方式，取样N次，形成一个训练集（即bootstrap取样），并用未抽到的用例（样本）作预测，评估其误差。 对于每一个节点，随机选择m个特征，决策树上每个节点的决定都是基于这些特征确定的。根据这m个特征，计算其最佳的分裂方式。 每棵树都会完整成长而不会剪枝，这有可能在建完一棵正常树状分类器后会被采用）。(N is used to represent the number of training cases (samples), and M is used to represent the number of features. The number of input features m is used to determine the decision result of a node in the decision tree, where m should be far less than m. From N training cases (samples), n times are sampled in the way of put back sampling to form a training set (i.e. bootstrap sampling), and the unselected cases (samples) are used to predict and evaluate the error. For each node, m features are randomly selected, and the decision of each node in the decision tree is determined based on these features. According to these m characteristics, the best splitting mode is calculated. Each tree will grow completely without pruning, which may be adopted after building a normal tree classifier).)

Extreme Learning Machine for Multilayer Perceptron

一款带搜索过滤功能的jQuery国家地区选择下拉框插件(JQuery Country Area Selection Dropdown Box Plug-in with Search and Filter)