搜索资源列表
PPSO-SVMfaceS
- 基于PSO训练SVM的人脸识别利用支持向量机在学习能力方面表现的良好性能,结合核主元分析特征提取方法,将将其应用于人脸识别中,该方法在实验中表现了良好的识别性能,为人脸识别领域提供了一条新的识别途径 已通过测试。 -Good performance, performance in the ability to learn the use of support vector machines based on PSO training
psoLSSVMcgForClass
- 利用PSO优化SVM中的c和g c1:初始为1.5,pso参数局部搜索能力 c2:初始为1.7,pso参数全局搜索能力 maxgen:初始为200,最大进化数量 sizepop:初始为20,种群最大数量-Support Vector Machine Optimized by Particle Swarm Optimization
PSO_GA_SVM
- 利用遗传算法GA和粒子群算法PSO对SVM进行优化-GA genetic algorithm and particle swarm optimization PSO to optimize the SVM
PSO_SVM
- SVM用于分类时的参数优化，粒子群优化算法，用于优化核函数的c,g两个参数-SVM PSO
39378
- This work investigates the practical application of support vector machine (SVM) to power transformer condition assessment. Partiuclarly, this paper proposes to integrate the SVM algorithm with two heuristic optimi
Yang_nature_book_part
- This work investigates the practical application of support vector machine (SVM) to power transformer condition assessment. Partiuclarly, this paper proposes to integrate the SVM algorithm with two heuristic optimi
39326
- This work investigates the practical application of support vector machine (SVM) to power transformer condition assessment. Partiuclarly, this paper proposes to integrate the SVM algorithm with two heuristic optimi
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 i
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 applicati
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
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, Inc
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, n
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 processin
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,
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