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Materials Studio基础教程（Visualizer模块）
说明： Materials Studio基础教程（Visualizer模块）(Materials Studio basics tutorial (visualizer module))
- 2020-07-02 16:33:05下载
- 积分：1
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extaspnet extaspnet extaspnet
ExtAspNet ExtAspNet ExtAspNet- ExtAspNetExtAspNetExtAspNet
- 2022-03-11 05:21:51下载
- 积分：1
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uCOS-II原理 任哲--PPT
说明： 嵌入式实时操作系统μC/OS-II讲解（ppt） 任 哲
一.计算机操作系统的基本概念
二.操作系统中常用的数据结构
三.并发操作系统的概念
四.任务的要素
五. μC/OS-II的任务管理（任务调度）
六. μC/OS-II的中断和时钟
七. μC/OS-II的任务的同步与通信
八. μC/OS-II的存储管理
九.硬件抽象层和测试台(Embedded real-time operating system/os-ii presentation (PPT
The basic concept of computer operating system
Two. The commonly used data structure in the operating system
Iii. Concept of concurrent operating system
Four, the elements of the task
5. Task management of C/ os-ii (task scheduling)
Six. C/ os-ii interrupts and clocks
7. Synchronization and communication of C/ os-ii tasks
8. C/ os-ii storage management
Hardware abstraction layer and test bed)
- 2020-05-04 20:53:34下载
- 积分：1
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基于OMNeT_的TCP_IP协议仿真
基于OMNeT_的TCP_IP协议仿真The TCP_IP protocol simulation based on OMNeT(The TCP_IP protocol simulation based on OMNeT_)
- 2009-10-28 20:48:07下载
- 积分：1
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将采集到的数据信号导入MATLAB软件进行处理
将采集到的数据信号导入MATLAB软件进行处理，查看其信号频谱图，采用频域窗函数法编程设计数字滤波器，实现低通、带通和高通滤波效果。(The collected data is imported into the MATLAB software to process, check the signal frequency spectrum, and design the digital filter with frequency window function method to achieve low pass, band pass and high pass filtering effect.)
- 2017-12-16 14:08:34下载
- 积分：1
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rocktest
pfc2d单轴压缩实验二维代码 可以直接运行 包含多种粘结模型(Uniaxial compression experiment of PFC 2D)
- 2019-05-10 00:36:59下载
- 积分：1
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苹果v10自适应高仿时光影院
苹果CMSV10自适应仿时光影视(Apple CMSV10 Adaptive Time Imitating Film and Television)
- 2020-06-22 03:40:02下载
- 积分：1
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随机森林
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).)
- 2021-01-28 13:47:33下载
- 积分：1
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1,与三个秤重仪表PT650通信,
2.与两个温度表AL808通信.
3.同时与FX2n通讯
4.进行配料与混合控制
5.用的是LabView编...
1,与三个秤重仪表PT650通信,
2.与两个温度表AL808通信.
3.同时与FX2n通讯
4.进行配料与混合控制
5.用的是LabView编写-1, with three weighing instrument PT650 communications, 2. AL808 communication with the two thermometer .3. At the same time with the FX2N Communications 4. To carry out the ingredients and mixed control 5. Preparation using a LabView
- 2022-03-17 22:44:34下载
- 积分：1
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数据结构做的一个小程序 对二叉进行的遍历
数据结构做的一个小程序 对二叉进行的遍历-data structure to do a small procedure on the two forks of the ergodic
- 2022-04-24 18:14:38下载
- 积分：1
