资源列表
GWO
- 灰狼算法优化FNN神经网络进行标准数据集的分类-Particle swarm optimization algorithm GWOand universal gravitation algorithm GSA combined with FNN neural network to optimize the classification of standard data sets
matlab-money-recognition
- 识别人名币正反面,并出图显示,有源代码和图片资料-Identify positive and negative currency names, and the chart shows, source code and image data
sar-algorisim
- 完全参照《合成孔径雷达成像 算法与实现》书籍编写,对照原书理论,可以更快理解算法,望采纳。-Full reference to synthetic aperture radar imaging- algorithm and implementation, the book preparation, control of the original book theory, you can quickly understand the algorithm, hope to adopt.
naokou
- 基于matlab GUI界面设计,算法优化非常好,几乎没有循环,包括最小二乘法、SVM、神经网络、1_k近邻法。- Based on matlab GUI interface design, Algorithm optimization is very good, almost no circulation, Including the least squares method, the SVM, neural networks, 1 _k neighbor method.
rk
- 一阶,三阶,四阶龙格库塔法的fortran code-First-order, third-order, fourth-order Runge-Kutta method of fortran code
sequential-quadratic-program
- 序列二次规划优化算法,解决线性约束的二次规划问题-Sequential Quadratic Programming optimization algorithm for solving linear constrained quadratic programming problems
IPC_example
- dsp c6678 IPC 针对多核dsp的核间通信,值得一看-dsp c6678 IPC for communication between cores of multicore dsp, worth a visit
Bootloader-v2.0
- stm32F103实现bootloader远程及本地升级功能-stm32f103 bootlader fun
tanghou_v27
- 最大似然(ML)准则和最大后验概率(MAP)准则,MIMO OFDM matlab仿真,LZ复杂度反映的是一个时间序列中。- Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, MIMO OFDM matlab simulation, LZ complexity is reflected in a time sequence.
ARIMA-GARCH
- 工业品出厂价格指数(PPI)案例分析 (ARIMA-GARCH模型) -Ex-Factory Price Indices of Industrial Products
SimpleBGC-_GUI_2_2b2(2)
- 开源SimpleBGC _GUI_2_2b2(2)的上位机代码,对下位机板进行设置 -Open source SimpleBGC _GUI_2_2b2 (2) of the PC code, the lower board set
DBSCAN
- DBSCAN(Density-Based Spatial Clustering of Applications with Noise)聚类算法,它是一种基于高密度连通区域的、基于密度的聚类算法,能够将具有足够高密度的区域划分为簇,并在具有噪声的数据中发现任意形状的簇。-DBSCAN (Density based Spatial Clustering of Applications with Noise) Clustering algorithm, it is a kind of Based on
