GA_feature_selector

离散时滞神经网络的状态估计算法，运用MATLAB画图得出估计算法的有效性。(state estimation algorithm)

二维码（data matrix）检测定位算法，(data matrix detection and positioning)

Python入门书籍，最新版，简单易学。 Make Your Own Python Text Adventure_ A Guide to Learning Programming(Phillip Johnson (auth.) - Make Your Own Python Text Adventure_ A Guide to Learning Programming-Apress (2018))

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.)

用于分形图像的生长-fractal images for the growth

说明：  The One 模拟器的主程序class文件(The main program class file of the one simulator)

hrms人力资源管理系统的页面设计部分，大家可以好好研究一下！-hrms人?| ?试

LSM6DS3驱动，用于驱动LSM6DS3陀螺仪传感器以及加速度计(LSM6DS3 driver for driving LSM6DS3 gyroscope sensor and accelerometer)

说明：  编写程序，实现基于最大Lyapunov指数的预测方法(Programming, the largest Lyapunov index based on the prediction method)

说明：  移动硬盘盒的电路图,包括原理图和PCB。(Mobile hard disk box of circuitry, including schematic and PCB.)