资源列表
duozhongqun
- 这是一个有效避免遗传算法早熟问题的函数优化方法，通过移民算子联系个种群，实现各种群的协同进化-This is an effective way to avoid the problem of premature genetic algorithm function optimization method, the sub-contact populations through migration operator, to achieve a variety of co-evolution gro
ImmuneGeneric
- 基于疫苗的免疫遗传算法，将人工免疫算法与一串算法相结合，有比较好的效果-Vaccines based on immune genetic algorithm, artificial immune algorithm and a bunch of algorithms combined with relatively good results
OIF
- 使用最佳指数法对高光谱图像进行波段选择的程序。分享一下-The procedure for band selection of hyperspectral images using the best exponential method. share
Relief
- Relief算法是一种特征权重算法,可以用于特征选择-Relief algorithm is a feature weighting algorithm，which can be used for feature selection
FDSFDS
- 绝对是就是地方就是案发地方撒廊坊欧式是大家发乐视-Is definitely the place where the crime is spreading Langfang Continental is everyone made music as
buck
- 通过编程能自动计算出有源超前滞后补偿网络的参数，能补偿电路产生理想的波形-It can be programmed to automatically calculate the parameters of the active lead lag compensation network, and can produce the desired waveform compensation circuit
main
- 这个例子是使用卡尔曼滤波器用于温度测量的应用,可以实现温度的预测和更新成功。-This example is to use kalman filter used in the application of temperature measurement, temperature forecast and update can be implemented successfully.
main
- 该实例是把卡尔曼滤波应用在自由落体运动目标跟踪问题上，根据已有的运动学方程，得到物体的状态方程。-The instance is the application of kalman filtering on the free fall target tracking problem, according to the existing kinematics equation, the equation of state of the object.
main
- Kalman滤波在船舶GPS导航定位系统中的应用,假定船舶出港沿某直线方向航行，且不考虑机动目标自身的动力因素，将匀速直线运动推广到四维。状态包括水平方向位置和速度和纵向位置和速度。-Kalman filter on the application of GPS navigation and positioning system of the ship, assuming that ship sailing port, along a straight line direction, and r
Oil_Explore
- 石油地震勘测输入白噪声估值器算法仿真程序,给出的例子说明白噪声反卷积滤波器的性能，其归结为状态空间模型和其输入w(k)的反卷积估值器。-Oil seismic survey input white noise value algorithm simulation program and gives examples of said understand deconvolution filter noise performance, it summed up in state space mode
EKF_for_One_Div_UnLine_System
- 标量非线性系统扩展Kalman滤波问题 状态函数：X(k+1) 0.5X(k)+2.5X(k)/(1+X(k)^2)+8cos(1.2k) +w(k) 观测方程：Z（k） X(k)^2/20 +v(k)-Scalar nonlinear system extended Kalman filtering problem State function: X (k+ 1) 0.5 X (k)+ 2.5 X (k)/(1+ X (k) ^ 2)+ 8 cos (1.2 k)+ w (k)
reversi
- a-B剪枝实现的黑白棋代码，实现与AI对战，并且提示可行走法-aB pruning achieve Othello code to achieve the AI battle, and tips can walk method