资源列表
RD
- 雷达成像中距离多普勒算法(RD算法),附带文字注释说明(Radar imaging midrange Doppler algorithm (RD algorithm), with text annotations)
主成分分析
- 使用主成分分析方法降维,输出主成分特征根,单位向量,累计贡献率(Dimensionality reduction by using principal component analysis)
reservoir_simulation
- 使用matlab计算一条裂缝产生的地层压力分布(Calculation of formation pressure distribution caused by a fracture using MATLAB)
断面确定_谱聚类算法
- 能够递归实现输电断面的识别;功能强大;谱聚类算法,IEEE39,14节点测试通过。可以自由拓展,对电力系统研究方向的同学有用(It can recognize transmission section recursively, and has powerful function. The spectrum clustering algorithm has passed the test of IEEE39,14 nodes. It can be expanded freely and is us
电车仪表
- 电动车仪表功能,电量显示,速度显示,一线通接收,48V60V转换(Electric vehicle meter function, power display, speed display, line to receive, 48V60V conversion)
阅非红包脚本
- 基于autojs的阅非红包脚本,手机运行,安卓版本需要7.0以上,不需要root,需要无障碍权限。(Based on autojs non-red-envelope scr ipt, mobile phone running, Android version needs more than 7.0, does not need root, need accessibility.)
UMAT_SMA_BENJABER_ET_AL
- 实现Cu基材料的本构关系的回滞模型,可用于超弹性材料的子程序,但对于残余应变的实现不足(A hysteresis model for realizing the constitutive relationship of Cu-based materials can be used for subroutines of superelastic materials, but the implementation of residual strain is insufficient.)
K线预测指标
- 主要K线形态。对于识别类可以作为完整的包使用(The main K-line shape. Identifying classes can be used as complete packages)
myThread
- 基于QT的QThread多线程应用程序开发指南(QT-based QThread multi-threaded application development guide)
CBS_v.Capella_2
- 1、EA策略:该EA采用挂单突破策略,开盘分别挂买单和卖单,订单成交采用移动止盈,以保证最大盈利; 2、运行周期:天周期(Daily);也可运行在4小时周期,风险相应会增加,需要修改参数; 3、适合币种:EURUSD、USDJPY、GOLD(XAUUSD)等; 4、盈利模式:固定模式和复利模式。历史回测固定模式盈利213%,最大回撤6.95%;复利模式盈利5682%,最大回撤23.46%。 5、结论:该EA有时半年不能盈利(也不会亏损太多),长期运行总体效果不错,需要有耐心。(1. EA st
采用广义回归神经网络GRNN进行货运量预测
- 针对货运量预测问题,建立广义神经网络,对货运量进行预测。同时建立了BP神经网络,通过预测误差进行比较(Aiming at the problem of freight volume prediction, a generalized neural network is established to predict freight volume. At the same time, a BP neural network is established to compare the predicti
程序
- main_feature.m:为特征提取主要程序,其中调用filter50.m子程序为50HZ工频滤噪;调用ApEn.m c0complex.m kEn_correct.m lyapunov_wolf.m LZC.m spectral_entropy.m SVDen.m SampEn.m子程序为非线性特征(近似熵,C0复杂度,K熵等)提取;wave_brain为小波分析频段特征提取。其中采样频率皆为256HZ。(ApEn.m c0complex.m kEn_correct.m lyapunov_