QT GUI快速编程 PYQT编程指南

windows平台下的挖矿（收益虚拟币）软件，用于挖门罗币，这也是不多的可以用CPU挖的主流虚拟币。(Under the platform of windows mining (revenue virtual currency) software, used to dig Monroe coins, the mainstream virtual currency which is not more than CPU can be used to dig.)

说明：  ECE工况数据，包括其电压数据，电流数据，转矩数据，转速数据。(ECE working condition data, including its voltage data, current data, torque data, speed data.)

使用方法： 1。依次引入 nav.css 、jQuery 脚本库以及 jquery.nav.js 文件； 2。复制代码到页面中即可。 备注： 1。可在代码中的 nav( ) 括号里进行设置，其中：（1 秒 = 1000 毫秒）(Usage method: 1. Nav.css, jQuery script library and jquery.nav.js file are introduced in turn. 2. Copy the code to the page. Remarks: 1. It can be set in nav () brackets in Code: (1 seconds = 1000 milliseconds).)

主要用于考试报名时，区位码转换。 -The main application for the examination, the area code-switching.

这是一个VC版的电子便笺, 这是一个VC版的电子便笺-This an electronic version of the VC memo, which is an electronic version of the VC memo, which is an electronic version of the VC memo

check and alarm system

说明：  关于MATLAB神经网络的案例分析，可以解决预测问题(The case analysis of MATLAB neural network can solve the prediction problem)

基于S函数的BP神经网络PID控制器Simulink仿真(BP neural network PID controller Simulink simulation based on S function)

针对实际对象数学模型不明确而难以控制的问题,采用人工免疫网络的离散模 型与学习算法,将人工免疫系统与神经网络结构的优势相结合,提出了一种基于人工免疫 网络的模式识别算法,构造了对象识别的人工免疫网络模型.该算法综合了网络节点的定 位与参数调整以及对基函数的平滑因子实施调谐等功能,有效地解决了径向基函数 (RBF)神经网络模式识别的两个阶段任务,使模式识别的精度有较大的改进.采用两个不 同对象函数进行的仿真试验表明,该算法具有快速收敛性与较高的准确性. -Mathematical model for the actual object is not clear and difficult to control the problem, the use of artificial immune network model and the discrete learning algorithm, artificial immune systems and neural networks combine the advantages of structure, an artificial immune network based on pattern recognition algorithms, Construction of the object identified by artificial immune network model. the algorithm is a combination of network nodes to adjust the position and parameters as well as the basis function implementation of the smoothing factor, tuning and other functions, to effectively solve the Radial Basis Function (RBF) neural network pattern recognition of two phase of the task, so that the accuracy of pattern recognition have greater impro

hen hao de ,qing da jia shiyong