搜索资源列表
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) classificati
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
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
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 param
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
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
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, lik
bufbd
- 仿真效果非常好,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。- Simulation of the effect is very good, You can achieve data classification and regression pattern recognition, Genetic algorithms using MATLAB path planning.
04657872GAFCM
- 遗传算法改进的模糊C-均值聚类MATLAB源码.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。(Improved genetic algorithm and fuzzy C- means clustering MATLAB source. The fuzzy C- means algorithm
28 梁晏宾
- 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 )。要求自行编写代码实现遗传算法。(1. using genetic algorithm based on the sample data of male and female students in height, wei
GASVM
- 遗传算法优化支持向量机程序,用于参数寻优,提高分类率(Genetic algorithm optimization support vector machine program)
ga-bp
- 一个遗传算法优化神经网络的分类器,可用于模式识别。(A genetic algorithm optimizes the classifier of neural network, which can be used for pattern recognition.)