资源列表
cxmmand
- MMX,SSE命令程序编制事例研究,运用自如MMX Pentium和PentiumIII被扩张了的命令,-MMX and SSE command programming example research, with ease MMX Pentium and PentiumIII be expanded a command,
bGWO
- 这个文件夹包含实现二进制灰太狼优化器，以包装模式进行特征选择。 -This folder contains implementation for the binary grey wolf optimizer applied for feature selection in wrapper mode.
EKF
- 扩展卡尔曼滤波，在传统卡尔曼滤波的基础上进行扩展，可以适用于非线性目标跟踪-Extended Kalman filter, based on the traditional Kalman filter to expand, can be applied to non-linear target tracking
Com
- 读串口工具，重复的数据只打印一次-Read a serial port tools, duplicate data print only once。。。。。
NCARFFT
- 计算流体力学中，对于不可压流体，解压力Possion方程使用快速傅立叶变换降维，提高计算效率。-CFD, for incompressible fluid, using the solution of the pressure equation of the fast Fourier transform Possion dimensionality reduction, improve the computational efficiency.
CKF
- 容积卡尔曼滤波，适用于解决非线性目标跟踪-Volume Kalman filter, suitable for solving nonlinear target tracking
Face-Detection
- 在机器学习中，使用伽柏特征提取和神经网络来进行人脸检测。 -Face Detection using Gabor feature extraction and Neural Network
UKF
- 无迹卡尔曼滤波，适用于解决非线性机动目标的跟踪问题-Unscented Kalman filter, suitable for solving nonlinear maneuvering target tracking problem
SECD
- FORTRAN77，在计算流体力学中，坐标变换时，度量系数的数值解比解析解精度更高，此为两种方法的对比。-The FORTRAN77 language, in CFD, when the coordinate transformation coefficient metric numerical solution is higher than the accuracy of analytical solution, this is a comparison of the two methods.
SVM-RFE-CBR-v1.3
- 在生物信息学中，SVM-RFE是一个强大的特征选择算法。这是一个不错的选择以避免过度拟合特性高的数量。-SVM-RFE is a powerful feature selection algorithm in bioinformatics. It is a good choice to avoid overfitting when the number of features is high.
K-means_C
- 用K-means算法实现数据聚类。首先利用C随机产生800个数据，并将这800个数据作为一组训练样本；其次利用K-means的原理跟方法将这组样本聚类成8个类，从而实现数据的分类。-Data Clustering with K-means Algorithm. First, 800 data were randomly generated by C and the 800 data were used as a set of training samples. Secondly, the K-m
houkce
- Pci related source code, learning pci friend can consult, very good, can be used