资源列表
Kmeans
- Kmeans聚类算法的matlab实现，测试用例使用的是身高和体重（放到.txt文件，从该文件中读取数据），根据身高体重划分为男女两类（上传文件中的sample即为测试例）-Kmeans clustering algorithm matlab implementation, test cases using height and weight (put. Txt file, read from the file data), classified according to height and
Axingxunlusuanfa
- A星寻路算法，lua实现的，很好，很实用。-failed to translatefailed to translatefailed to translatefailed to translatefailed to translatefailed to translatefailed to translate
immune-genetic-algorithm-for-TSP
- 基于matlab的遗传免疫算法TSP的源代码，内容比较详尽。-Based on immune genetic algorithm matlab source code for TSP, a more detailed content.
kecheng2011
- 课程设计要求 0 实验一 基于模板匹配的字符识别 1 实验二 基于C均值算法的车辆检测与跟踪 3 实验三 水果分类系统设计 5 实验四 基于遗传算法的图像歪斜校准 6 实验五 基于BP网络的函数逼近 9 实验六 空调模糊控制系统设计 -Curriculum design requires 0 Experimental one based on template matching character recognition 1 C-means algorithm
Matlab11
- NSGA遗传算法的源代码， NSGA遗传算法的源代码，-NAGA
FCM_synthetic_control.data
- 1. Synthetic Control Chart Time Series合成控制图时间序列 a) 数据集描述：该数据集包含600个实例，属性个数为6，已知分为6类。 b) 参数选择： 聚类数为6 加权指数m=2 最大迭代次数为1000，隶属度最小变化量1e-5 -1. Synthetic Control Chart Time Series Synthetic Control Chart Time sequence
GAaRastrigin
- 遗传算法和膜计算混合算法，运用膜计算的特性结合GA算法-GA algorithm and computing
Psopt3
- C语言Legendre伪谱法软件，带很多算例-pseudospectral C++
10
- 基于pca和dpca的程序，应用于故障检测与故障诊断,还有故障识别，识别的效果很好，对象为cstr，程序简单-Based on the pca and dpca program, used in the fault detection and fault diagnosis, and fault recognition, identification of the good effect, the object for CSTR, procedure is simple
0
- 基于kpca以及核流形发的程序，应用于故障检测与故障诊断,还有故障识别，识别的效果很好，对象为cstr，程序简单-Based on kpca and nuclear manifold hair of program, used in the fault detection and fault diagnosis, and fault recognition, identification of the good effect, the object for CSTR, procedure is
ann-and-ga-in-heat-verse-conduction
- 神经网络和遗传算法在热传导逆问题中应用，本文分别用BP网络、RBF网络和GA求解了一维导热反问题，分别用BP网络和GA求 解了二维导热反问题， -Neural networks and genetic algorithms in the application of the inverse problem of heat conduction
The-improved-genetic-algorithm
- 基于改进的遗传算法解非线性方程组，将非线性方程组问题转化为函数优化-The improved genetic algorithm for solving nonlinear equations in the application