资源列表
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- 基于神经网络的BP 农作物虫情预测算法，希望对神经网络初学者有用-BP crop pests prediction algorithms based on neural networks, neural networks hope useful for beginners
C++shuzhisuanfa
- C++经典数值算法源码,包括了各个经典的算法源码.希望能给大家带来方便,好好利用.
lmn4op.ZIP
- 一种新的快速地磁匹配算法A new rapid geomagnetic matching algorithm-A new rapid geomagnetic matching algorithm
shallowroot-TRS
- The exponential growth in the number of Photovoltaic (PV) system installations verifies that solar power technology has become one of the promising energy resources. This paper introduces new control scheme and converter topology for low to m
Cooperative-Sensing
- 认知无线电合作感知，合作下的检测和虚警概率关系以及最有门限选择-Cognitive radio cooperative sensing, detection and false alarm probability relations and cooperation under the most threshold selection
Kruskal
- 实现图的最短路径寻找
Trapmap
- 实现梯形图的构造，通过查询结构实现点的定位，并对实现的过程进行实验分析。-Achieve ladder structure, point by querying the structure to achieve localization, and experimental analysis of the implementation process.
WaferPainter
- 对离散点通过Kriging插值算法实现2维和3维地图等高线绘制。 -Kriging interpolation of discrete points on the algorithm by 2-D and 3-dimensional map of contour drawing.
Optimal-design-of-PID-parameter
- 研究基于粒子群算法控制系统PID参数优化设计方法以及对PID控制的改进。- study the optimal design of PID parameter of the control system based on Particle Swarm Optimization and find a way to improve the PID control.
matlab-creat-grey-model
- 分析灰色预测模型基本原理的基础上，利用MATLAB强大的矩阵功能，用MATLAB实现灰色预测GM(1，1)模型算法，并通过实例分析验证了程序的准确性和可靠性。-Grey forecasting model of the basic principle, using the powerful MATLAB matrix functions, with the MATLAB implementation Grey GM (1,1) model algorithm, and an example of
CodeI For Small Target Detection
- matlab 编写 红外弱小目标检测，适合在小范围小目标中做检测，本代码应调试完成，可以直接根据文件中readme.txt运行代码。主要原理是找到图片中最大峰值并予以表示出来。(Matlab writing infrared dim small target detection, suitable for small range of small targets to do the test, the code should be debugged, you can directly run t
基于实际数据和Bladed数据对变桨故障模式的诊断
- 基于实际数据和Bladed数据对变桨故障模式的诊断，运用机器学习的方法对大数据进行处理，得到可以表征故障模式的特征。(Based on the actual data and Bladed data for the diagnosis of the variable paddle fault mode, the machine learning method is used to deal with the large data, and the characteristics of the f