搜索资源列表
GA-PSOPSO
- (粒子群算法)作为添加算子改进GA (遗传算法),供大家学习-(PSO), as the operator to add to improve the GA (genetic algorithm) for them to learn
SVM_Short-term-Load-Forecasting
- 优秀论文及配套源码。首先阐述了负荷预测的应用研究现状,概括了负荷预测的特点及其影响因素,归纳了短期负荷预测的常用方法,并分析了各种方法的优劣;接着介绍了作为支持向量机(SVM)理论基础的统计学习理论和SVM的原理,推导了SVM回归模型;本文采用最小二乘支持向量机(LSSVM)模型,根据浙江台州某地区的历史负荷数据和气象数据,分析影响预测的各种因素,总结了负荷变化的规律性,对历史负荷数据中的“异常数据”进行修正,对负荷预测中要考虑的相关因素进行了归一化处理。LSSVM中的两个参数对模型有很大影响,
psoLSSVMcgForClass
- 对于分类问题,matlab平台下的基于粒子群算法有关LSSVM参数寻优的程序。-For classification problems, the MATLAB platform based on particle swarm algorithm for LSSVM parameters optimization procedure.
svm-1
- matlab中的svm工具包,是标准化的svm算法,只能用于线性问题,非线性的需用libsvm或lssvm来解决。-svm in matlab Kit, standardized svm algorithm can only be used for linear problems, nonlinear the required libsvm or lssvm of resolve.
The-QPSO-
- QPSO量子粒子群算法,QPSO LSSVM,SVM-The QPSO quantum particle swarm optimization
psolssvm
- lssvm程序,采用粒子群算法来优化模型参数-lssvm program, to optimize the model parameters using particle swarm
Pso
- 粒子群LSSVM优化算法,利用LSSVMlabv1_8_R2009b_R2011a 数据库。-The particle swarm optimization algorithm of LSSVM
InitSwarm
- 粒子群LSSVM优化算法pso.m的子程序,运行数据库LSSVMlabv1_8_R2009b_R2011a。-subroutine of Particle swarm LSSVM optimization pso. M
LSSVM
- 最小二乘支持向量机算法,用于单一数据样本的预测,也可用于模式识别。特别适用于小样本数据样本的预测。-Least squares support vector machine algorithm, is used to predict the single sample data, but also can be used for pattern recognition. Forecasting is especially suitable for small sample data.
SFLA-LSSVM
- 自己编写的 混洗蛙跳算法优化最小二乘支持向量机参数 把文件里的数据、LSSVM模型更换,就可以移植-written by Son.Y.M Shuffled frog leaping algorithm to optimize the parameters of LS-SVM The data in the file, LSSVM model replacement, you can transplant
最小二乘支持向量机
- 最小二乘支持向量机的调用函数,可用于分类或者预测,只需修改几个参数,即可执行。
lssvm-lisp
- 使用lisp实现最小二乘支持向量机时间序列预测预测算法-LSSVM by lisp
LS-SVMLab-v1.7(R2006a-R2009a)
- 数据预测与挖掘。通过MATLAB程序对lssvm算法进行仿真。-Data prediction and mining. The lssvm algorithm is simulated by MATLAB program.
PSO-LSSVM
- 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 iterati
LSSVM-master
- LSSVM算法 数据回归 java 适合项目开发(LSSVM algorithm, java)
LSSVM
- 最小二乘支持向量机,改进后的支持向量机算法(least squares support vector machine, Improved least squares support vector machine)
PSO-lssvm
- 利用PSO-LSSVM算法实现模式识别功能(Using PSO-LSSVM algorithm to realize pattern recognition)
WOAlssvm
- 鲸鱼算法改进优化,结合最小二乘支持向量机,(Whale algorithm optimization)
PSO-LSSVM
- PSO-LSSVM算法的matlab实现,利用PSO算法对LSSVM模型的初始参数求解,以期望得到最好的模型。(PSO-LSSVM algorithm is implemented in matlab, and PSO algorithm is used to solve the initial parameters of LSSVM model in order to get the best model.)
GA-LSSVM.m
- 遗传算法优化最小二乘支持向量机的核函数参数和正则化参数(Optimization of Kernel Function and Regularization Parameters of Least Square Support Vector Machine by Genetic Algorithms)