Location:
Search - pso-svm
Search list
Description:
Platform: |
Size: 77312 |
Author: haoyouduolai |
Hits:
Description: PSO：粒子群优化算法，用C++和matlab两种语言实现的
RVM:相关向量机，比SVM更高级些
样本熵和近似熵：计算动态系统中时间序列的一个重要手段-PSO: PSO algorithm, using C++ and matlab realization of two languages
RVM: relevance vector machine, some more advanced than SVM
Sample entropy and approximate entropy: Calculating an important means of dynamic system in time series
Platform: |
Size: 294912 |
Author: 夏德玲 |
Hits:
Description: 粒子群算法优化支持向量机参数，可用于分类-pso svm
Platform: |
Size: 5120 |
Author: 小二 |
Hits:
Description: 使用粒子群算法PSO，优化支持向量机的参数，对数据进行分类。-The use of particle swarm algorithm PSO, optimize the parameters of SVM, to classify the data.
Platform: |
Size: 660480 |
Author: 赵宇 |
Hits:
Description: 遗传算法和粒子群算法以及网格搜索法优化神经网络SVM的高斯核参数和惩罚参数-Optimization of Genetic Algorithm Neural Network SVM Gaussian kernel parameters and penalty parameter
Platform: |
Size: 208896 |
Author: 陈静 |
Hits:
Description: pso-svm利用回归预测分析最佳的参数进行SVM网络训练 分析结果-
pso-svm Analysis of the best use of parametric regression prediction network training SVM analysis results
Platform: |
Size: 1024 |
Author: 罗映莲 |
Hits:
Description: 该程序是基于粒子群算法优化支持向量机中的正则化参数C和核函数参数K的算法，实现了对电力负荷的短期预测，预测效果较好，可根据自己要求进行更改。-The algorithm is based on particle swarm optimization algorithm to optimize regularization parameter C and kernel function parameter K in support vector machine. It realizes the short-term prediction of power load, and the prediction effect is good, and can be changed according to the requirements.
Platform: |
Size: 12288 |
Author: 郭鹏飞 |
Hits:
Description: 基于粒子群（pso）的参数寻优，可以做BP和svm的参数寻优。-Based on Particle Swarm (pso) parameter optimization, BP and svm you can do the parameter optimization.
Platform: |
Size: 772096 |
Author: zhch8i |
Hits:
Description: 利用改进PSO算法对LS-SVM进行参数优化，参数 和 的取值范围分别为 和 ，粒子种群数量为 25，迭代次数为 100，惯性权重因子 和 取0.9和0.1，学习因子 和 均取2。-The parameters of PS-SVM are optimized by using the improved PSO algorithm. The range of parameters is 25, the number of particles is 25, the number of iterations is 100, the inertia weighting factor is 0.9 and 0.1, and the learning factor is 2
Platform: |
Size: 10240 |
Author: 张亚男 |
Hits:
Description: 经过优化得到的参数组，利用优化的参数构建LS-SVM模型，然后使用训练样本对其进行训练。
利用训练后的LS-SVM对测试样本进行分类，-The optimized parameters are used to construct the LS-SVM model with optimized parameters, and then trained using training samples.
Using the trained LS-SVM to classify the test samples,
Platform: |
Size: 9216 |
Author: 张亚男 |
Hits:
Description: pso svm classification
Platform: |
Size: 353280 |
Author: ahsani
|
Hits:
Description: 粒子群优化支持向量机代码，可用于预测分析(Particle swarm optimization support vector machine code, can be used for predictive analysis)
Platform: |
Size: 1024 |
Author: 吾笑翻矣
|
Hits:
Description: 粒子群优化支持向量机对电池寿命进行预测，利用粒子群优化支持向量机参数(Particle swarm optimization support vector machine is used to predict battery life, and particle swarm optimization is used to support SVM parameters)
Platform: |
Size: 2048 |
Author: 河北工大2017
|
Hits:
Description: gene selection in cancer classification by pso/svm
Platform: |
Size: 464896 |
Author: elordy
|
Hits:
Description: parameter selection of svm based on pso
Platform: |
Size: 199680 |
Author: elordy
|
Hits:
Description: 该文件为粒子群算法优化支持向量机模型(This document is optimized by Particle Swarm Optimization (SVM) model)
Platform: |
Size: 28672 |
Author: zhouyucai |
Hits:
Description: 该代码为粒子群算法优化支持向量机模型(The code is a particle swarm optimization algorithm to optimize the support vector machine model)
Platform: |
Size: 2048 |
Author: zhouyucai |
Hits:
Description: 针对例如SVM等智能算法的参数寻优采用自适应的参数优化(Parameter optimization for intelligent algorithm)
Platform: |
Size: 25822208 |
Author: 小刚wyg |
Hits:
Description: 利用遗传算法、蚁群算法、PSO等对SVM模型进行优化，实现高效分类和回归预测(The SVM model is optimized by genetic algorithm, ant colony algorithm and PSO to achieve efficient classification and regression prediction.)
Platform: |
Size: 1153024 |
Author: zxzxchyl |
Hits:
Description: 使用粒子群算法优化支持向量回归，实现预测功能(Support Vector Regression Using Particle Swarm Optimization)
Platform: |
Size: 2048 |
Author: 元是 |
Hits: