▍1. 经济调度
以发电机组发电成本最小为目标编写的程序,数据使用的是6台机组参数。(The program is written with the minimum generating cost of the generating set as the target, and the data is based on the parameters of the 6 units)
二维波动方程正演MATLAB有限差分程序(Two - Dimensional Wave Equation Equations MATLAB Finite Difference Program)
optics 聚类算法,异类挖掘算法,可以挖掘出数据里面的异常数据(optics clustering algorithm)
找出一个向量或者数组的所有子集,数组中所有向量的全部组合排列组成的子集(Find a subset of the array)
无人机飞行问题 无人机飞行会受到风速的干扰,可以解决模拟顺丰风速对无人机飞行检测浓度问题(Unmanned aerial vehicle (UAV) flying problem can be disturbed by wind speed, and can solve the problem of UAV flight detection concentration by simulating SF wind speed)
这篇matlab程序是无需工具箱解决无约束目标函数最大值的程序(This matlab program is a program that does not need a toolbox to solve the maximum of an unconstrained objective function)
本程序主要针对非线性系统开展反演滑模自适应控制算法研究(This program is mainly aimed at nonlinear systems, inverse sliding mode adaptive control algorithm research)
一些脑电数据和特征提取,提取的是小波包能量(Some EEG data and feature extraction are extracted from wavelet packet energy)
暗通道优先去雾代码, 直方图去雾代码, 自适应色阶去雾代码(Dark channel priority fog code, Histogram de fogging code, Adaptive histogram defogging code)
异构无线网络中随机生成宏基站与小基站场景的代码(Heterogeneous wireless networks randomly generated macro base station and the small base station scene code)
迭代划分三角形网络,包括圆形、方形、圆形有孔、不规则实例(Iterative triangulation network, including circular, square, circular hole, irregular examples)
构建规则网络模型,研究人员可以自己修改网络参数,构建不同规模的规则网络模型。(Rules to build network model, the researchers can modify the network parameters, rules of different scale network model was constructed. )
计算下行功分复用的归一化传输速率。UE1远端,UE2近端。(To calculated the normalized sum rate of Power division multiple access (PDMA), two users. )
垂直切换功能,完成异构网络之间的切换,保证通信的无缝连接,提高用户体验值(Vertical handover function, complete the handover between heterogeneous networks, ensuring seamless connectivity of communication, improve the user experience value.)
无线传感网络关于节点的能量有效性的路由协议方面的代码(Energy efficient routing protocol of wireless sensor network node aspects about the code )
反卷积网络 深度学习网络深层特征可视化 zeiler(deconvolutioanal net visualized the deep net features)