搜索资源列表
static_K_ga01
- MATLAB代码，采用封装法利用K近邻和遗传算法的结合对数据进行分类-MATLAB code using encapsulation method using a K-nearest neighbor and genetic algorithm combined with data classification
dyn_LDA_GA
- MATLAB代码，利用LDA和遗传算法对数据进行分类-MATLAB code, use LDA and genetic algorithms for data classification
Genetic-algorithm-to-optimize-svm
- 遗传算法优化支持向量机的惩罚系数C与高斯核系数g，能够提高支持向量机的分类精度-Genetic algorithm to optimize the punish coefficient of support vector machine (SVM) with gaussian kernel coefficient C g, can improve the support vector machine (SVM) classification accuracy
BP.SVM
- 这是遗传算法优化支持向量机代码。用于matlab分类应用-This is a genetic algorithm optimization support vector machine code. Applications for classification matlab
gafcm
- 这是遗传算法改进的模糊C-均值聚类MATLAB源代码,由遗传算法得到初始聚类中心，再使用标准的模糊C-均值聚类算法得到最终的分类结果。-This is the MATLAB source code of the improved fuzzy c-means clustering(FCM) based on the genetic algorithm(GA).The initial cluster centers are otained through GA,and the final clust
SVM2_GA
- 基于遗传算法的支持向量机算法，程序内可实现遗传算法参数寻优，并对输入数据分类输出-SVM based on genetic algorithms, genetic algorithms can be realized within the program parameter optimization, output and input data classification
geneticalgorithm
- matlab遗传算法，主要功能是遗传算法的分类-matlab genetic algorithm, the main function is to classify GA
ga_bp
- 基于遗传算法优化的BP神经网络，可以作为诊断分类使用-Genetic Algorithm Optimization of BP neural network can be used as a diagnostic classification
chapter15
- 基于SVM的数据分类预测—一种最基本遗传算法和粒子群算法对的支持向量机的参数的优化，再此基础上可以对算法进行改进-Data classification based on SVM prediction- one of the most basic genetic algorithm and particle swarm optimization (pso) algorithm, the optimization of the parameters of the support vector ma
30-case-analysis-of-neural-network
- 主要描述BP神经网络、SVM 的数据分类预测、Elman神经网络的数据预测粒子群优化算法的寻优算法、遗传算法优化计算等书中详细介绍了每种源程序代码及编写规范。-Mainly describes the classification of data with BP neural network and SVM prediction, Elman neural network data prediction particle swarm optimization algorithm optimiza
haonou_v13
- 用MATLAB编写的遗传算法路径规划，Relief计算分类权重，包括脚本文件和函数文件形式。- Genetic algorithms using MATLAB path planning, Relief computing classification weight, Including scr ipt files and function files in the form.
fuzzy-c
- 模糊C-均值算法容易收敛于局部极小点，为了克服该缺点，将遗传算法应用于模糊C-均值算法(FCM)的优化计算中，由遗传算法得到初始聚类中心，再使用标准的模糊C-均值聚类算法得到最优分类结果。-Fuzzy C- means algorithm is easy to converge to a local minimum, in order to overcome this drawback, the genetic algorithm is applied to the fuzzy C- means
suiqie_v14
- 可以实现模式识别领域的数据的分类及回归，用MATLAB编写的遗传算法路径规划，有CDF三角函数曲线/三维曲线图。- You can achieve data classification and regression pattern recognition, Genetic algorithms using MATLAB path planning, There CDF trigonometric curve/3D graphs.
foulang
- 遗传算法无功优化，含噪脉冲信号进行相关检测,可以实现模式识别领域的数据的分类及回归。- Genetic algorithm based reactive power optimization, Noisy pulse correlation detection signal, You can achieve data classification and regression pattern recognition.
2
- vc++开发的图像分类，包括聚类分析，模糊聚类，遗传算法聚类等-vc++ Developed image classification, including cluster analysis, fuzzy clustering, genetic
GASEN
- 这个程序是用遗传算法生成单个的神经网络，并且个体神经网络精度高，差异性大。并应用于回归,分类的实例中。--to use this function, GAOT toolbox must be available. refer: C.R. Houck, J.A. Joines, and M.G. Kay. A genetic algorithm for function optimization
FEGAPSO
- 一种结合遗传算法和粒子群优化算法的高光谱图像分类方法。-Feature Selection Based on Hybridization of Genetic Algorithm and Particle Swarm Optimization
etic-algorithm
- 基于bp神经网络，采用遗传算法优化，运用matlab完成识别分类的工作，自带实例-Using genetic algorithm to optimize BP neural network, with examples
kenjou
- 针对EMD方法的不足,Relief计算分类权重，遗传算法无功优化。- For lack of EMD, Relief computing classification weight, Genetic algorithm based reactive power optimization.
code
- 1采用遗传算法对男女生样本数据中的身高，体重，喜欢数学，喜欢文学，喜欢运动，喜欢模式识别共6个特征进行特征选择，并基于所得到的最佳特征采用SVM设计男女生分类器，并计算模型预测性能（包含SE,SP,ACC和AUC ）。提示：可以用6位的0/1进行编码，适应度函数可以考虑类似 。-1 genetic algorithm for boys and girls in the sample data of height, weight, like math, like literature, like