搜索资源列表
apriori
- 经典Apriori算法的优化，并在商场消费者消费数据集上进行测试，挖掘频繁模式-Optimization of classical Apriori algorithm, and tested in store consumer data sets, frequent pattern mining
ems
- 建模优化与评价的理论基础学习，用于统计分析和数据挖掘-Based learning theory and modeling optimization and uation for statistical analysis and data mining
ctssvm--bfgs
- 对无约束的优化模型利用BFGS算法进行求解-For unconstrained optimization model uses BFGS algorithm to solve
tssvm--bfgs
- 对三次样条函数的模型利用BFGS算法进行优化求解-Cubic spline function model using BFGS algorithm optimization solution
Multistep-Wind-Speed-Forecasting-Based-on-Wavelet
- Considering the randomness and volatility of wind, a method based on B-spline neural network optimized by particle swarm optimization is proposed to predict the short-term wind speed
non-conv-regul
- 西安交通大学徐宗本院士的ppt，关于稀疏优化理论以及L1/2正则化的研究与应用-Xi an Jiaotong University, Academician Xu Zongben ppt, on sparse optimization theory and L1/2 regularization Research and Application
The-optimization-of-K-means
- 对k-means算法的优化，通过优化初始聚类中心的选择-The optimization of K-means algorithm by improving the selection of initial clustering centers
Mathematical-modeling2
- 在数学建模中采用遍历寻优思想达到最终目的-In mathematical modeling used to traverse optimization ideological achieve the ultimate goal
SimulatedAnnealing
- 社会网络影响最大化问题中的模拟退火算法，是格局爬上算法的一种优化算法，用于社会网络分析.-Social network influence maximization problem in simulated annealing algorithm, is a kind of pattern climb algorithm optimization algorithm, for social network analysis.
24567507qpso-svm
- 一个粒子群优化的支持向量机，运行过的，很好用，供初学者参考-A particle swarm optimization support vector machine (SVM), running, useful, reference for beginners
TLBOmain
- 教与学算法的matlab基本程序，可根据自身要求进行修改。-Teach Learning-based Optimization
rgyq
- 人工鱼群算法的实现代码，有效处理优化寻优问题，比遗传算法、PSO具有更好的优化效果-Artificial fish swarm algorithm code to deal effectively optimize the optimization problem, with better optimization results than the genetic algorithm
fengqunsuanfaPID
- 针对工业控制中常用的PID控制器参数整定困难的问题,提出一种基于人工蜂群算法的参数整定方法。将PID控制器待整定参数看作蜜源,利用蜂群特有的角色转变机制搜索优质的参数组合 选取绝对误差矩积分性能指标作为参数寻优的目标函数。仿真实验结果表明,所采用的算法能够提高控制系统的动态性能,增强系统的快速性和稳定性,适用于PID控制器的自整定。 -For industrial control commonly used in PID controller tuning difficult problem
DPSO
- 离散粒子群算法。粒子群算法原来只能处理连续变量，算法进行了改进，可以处理离散变量-Discrete particle swarm optimization algorithm, particle swarm optimization algorithm can only deal with continuous variables, the algorithm is improved, can handle discrete variables
multi-dimensional-particle
- 一维及二维数据粒子算法寻优,包括1）二维粒子算法参数寻优-替代网格寻优；2）一维数据粒子算法寻优（极值）。- One dimensional and two dimensional data particle algorithm optimization, including 1) two dimensional particle algorithm parameter optimization- alternative grid optimization 2) one dimens
upload
- genetic algorithm for optimization and bee colony algorithm accompanied by fuzzy c means clustering .
GA-BP
- 运用种群遗传算法优化BP神经网络的权值和阀值-The use of genetic algorithm optimization BP neural network weights and thresholds
logRegres
- Logistic回归主要目的是寻找一个非线性sigmoid的最佳拟合参数，采用梯度上升算法可以达到局部的最优化-The main purpose of Logistic regression is to find the best fitting parameters of a nonlinear sigmoid, and the gradient ascent algorithm can be used to achieve the local optimization.
svmMLiA
- 支持向量机是最常用的一种分类器，它通过求解一个二次优化问题来最大化分类间隔，本例采用的SMO算法，可以大大优化运行-Support vector machine is the most commonly used classifier, it can be used to solve a two optimization problem to maximize the classification interval, this example uses the SMO algorithm, ca
optimization
- 用最少方差法对资源高峰进行优化,并以柱状图的形式直接显示出来结果-With a minimum variance method to optimize resource peak