MZTools3_help_ita

MQL4语言全方位的培训教程，里面涵盖了MQL4的所有的常用函数和如何编写EA、指标和脚本的教程(MQL4 Language Training Course)

请填写要发的手机号码是免费的,但手机浏览器必须要开启图片显示)--=手机号码=--OK,成功发短信1312xxx....,第14.次 但是只有一个通道，有些接口需要调用cookies 但是我不会用php调用所以。。。

用LabVIEW编写的温度报警程序，适合于工业自动化使用-Write the Temperature alarm program by Labview Software.

求解雷诺方程，只是个参考，把这个弄明白了其他的形式都可以求解(Solving the Reynolds equation is just a reference. It can be solved by solving other forms.)

部分线性代数计算算法，个人精力有限只整理的这么一点。-Linear algebra part of the calculation algorithm, the individual efforts of so limited that only compiled.

数码摄像机电路图.pdf.,日本的.应该有用-digital cameras circuit. Pdf. Japan. Be useful

致远电子的ARM9嵌入式系统硬件设计指南，上册(ARM9 embedded system hardware design guide)

基于simulink的ABS神经网络控制、爬虫(Controling ABS by neural network that base on simulink and reptile.)

类似音量控制的VB滑块应用实例源码，很多个排列整齐的滑块，可在鼠标的操作下拖动位置，实现某种功能，可用于程序参数面板中，用于设置某项参数和数值，具体效果请参见截图。

说明：  针对矿浆管道工况调整给泄漏检测带来的干扰，准确提取泄漏信号的特征量是降低泄漏误报、漏报的关键。为此，提出了一种基于经验模态分解（EMD）、Hilbert能量谱与变量预测模型（VPMCD）相结合的泄漏检测方法。该方法首先将压力信号分解成若干个固有模态函数（IMF）之和，然后将IMF分量进行Hilbert变换得到局部Hilbert能量谱，依据能量分布的标准差选择最能准确反映矿浆管道运行工况的局部能量谱作为特征值向量，最后通过VPMCD分类器建立泄漏识别模型。将该方法应用于泄漏检测中，实验结果表明，矿浆管道在正常运行、泄漏和工况调整状态下，识别率达到95%，并综合分析流量信号，提高了泄漏检测精度。(According to the interference to leak detection of mineral slurry pipeline caused by work condition adjustment,effectively extracting the characteristics of leak signal is the key to reduce the leakage of the false negatives and false positives.In this paper,a leak detection method based on EMD and VPMCD is proposed. In this method,the pressure signals are decomposed into several IMF components, and then take local Hilbert energy spectrum which most accurately reflect the pipeline operation conditions as feature values, Finally the leak identification model is established by VPMCD classifier.When the method is applied to the leak detection,the experimental results show that under the conditions of normal operation,leakage and work condition adjustment, the recognition rate of the mineral slurry pipeline reaches 95%,and by comprehensively analyzing the flow signals, it also improves the accuracy of leak detection.)