搜索资源列表
PSO_SVM-With-LSO
- matlab code for pso-svm with lso
pso_svm
- 粒子群算法优化支持向量机参数，可用于分类-pso svm
psosvm
- 将SVM与粒子群算法(PSO)相结合,充分利用SVM在处理小样本回归问题上具有的独特优越性及PSO全局搜索优化等特点-SVM and particle swarm optimization algorithm (PSO) combined with SVM, makes full use of the unique superiority and the PSO global search optimization features in small sample regression prob
gaSVMcgForRegress
- Matlab使用pso进行svm参数优化寻优-Matlab were svm parameter optimization using pso optimization
psoSVMcgForRegress
- Matlab使用pso进行svm参数优化寻优-Matlab were svm parameter optimization using pso optimization
1-s2.0-S1568494613001361-main.pdf
- Modified binary PSO for feature selection using SVM applied to mortality prediction of septic patients
PSOlssvm
- 粒子群优化参数的LSSVM，并对啤酒数据进行分类-PSO LS SVM parameters, data classification and beer
MATLAB
- 一本介绍Matlab应用的书籍，包括神经网络、SVM、智能寻优PSO等等，书里包括了应用实例及相应的代码，对于matlab编程初学者非常有用-An introduction to the application of Matlab books, including neural networks, SVM, intelligent search PSO and so on, the book includes the application examples and the correspond
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
khdnrquq
- 部分实现了追踪测速迭代松弛算法，虚拟力的无线传感网络覆盖，包括最小二乘法、SVM、神经网络、1_k近邻法,LCMV优化设计阵列处理信号，在MATLAB中求图像纹理特征，基于分段非线性权重值的Pso算法。- Partially achieved tracking speed iterative relaxation algorithm, Virtual power wireless sensor network coverage, Including the least squares metho
bvidmvds
- 应用小区域方差对比，程序简单，包括最小二乘法、SVM、神经网络、1_k近邻法,包含了阵列信号处理的常见算法，可以广泛的应用于数据预测及数据分析,基于分段非线性权重值的Pso算法，通过反复训练模板能有较高的识别率。- Application of small area variance comparison, simple procedures, Including the least squares method, the SVM, neural networks, 1 _k neighbor
vvtxtnnx
- 包含位置式PID算法、积分分离式PID，基于分段非线性权重值的Pso算法，添加噪声处理，使用拉亚普诺夫指数的公式，包括最小二乘法、SVM、神经网络、1_k近邻法。- It contains positional PID algorithm, integral separate PID, Based on piecewise nonlinear weight value Pso algorithm, Add noise processing, Raya Punuo Fu index using t
newthreepsotosvm
- 用粒子群算法解决SVM问题的代码，希望对大家有帮助！-Using particle swarm optimization (pso) algorithm to solve the problem of SVM code, I hope it can help you!
haijui
- 包括最小二乘法、SVM、神经网络、1_k近邻法,实现用SDRAM运行nios，同时用SRAM保存摄像头数据，基于分段非线性权重值的Pso算法。- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Implemented with SDRAM run nios, while saving camera data SRAM, Based on piecewise nonlinear
PSO-optimization-of-SVM
- 这篇文章主要描述了基于粒子群算法下的支持向量积的研究-This article describes a study based on support vector particle swarm under integrable
PSO_SVM
- 带有PCA之后的数据集，并用粒子群（PSO）优化支持向量机（SVM）的分类器进行分类，并给出分类识别率。-After the data set with PCA, and use the particle swarm optimization (PSO) to optimize the support vector machine (SVM) classifier for classification, and classification recognition rate is given.
149373c
- 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
SVM_GUI_3.1[mcode]
- faruto编写的基于libsvm3.1的SVM_GUI，可用于SVM分类及相关回归分析，已经集成了GA及PSO参数寻优算法及PCA算法，提供的是GUI版本及与之对应的源码版本-SVM_GUI and the program of SVM_Code,base on the version of the Libsvm 3.1，using the GA and PSO algorithm to improve
SVM_Code_GUI
- faruto编写的基于libsvm3.1的SVM_GUI，可用于SVM分类及相关回归分析，已经集成了GA及PSO参数寻优算法及PCA算法，提供的是GUI版本及与之对应的源码版本-SVM_GUI and the program of SVM_Code,base on the version of the Libsvm 3.1，using the GA and PSO algorithm to improve
pso-svm-prediction
- 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 s