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kelongxuanze
- 二进制代码克隆选择算法的c原程序代码，应该比较好用。谢谢支持。-binary code clonal selection algorithm c original program code should be more user friendly. Thank you support.
tspwentidekelongsuanfa
- 基于tsp问题的简单克隆选择算法，应该比较好用，谢谢支持！-tsp based on the simple question of clonal selection algorithm, it should be more convenient, thank you support!
Srinivas_Mukkamala
- 两种SVM特征选择方法，用PPT详细的阐述了作者的思路和实验情况，非常清除明白。-two feature selection method, the PPT detailed descr iption of the author's ideas and experiments, understand very clear.
qiyuzengzhangdiguishixian
- 本函数的处理结果是将生长后的区域表示为黑色像素，未生长区域表示为白色像素。 区域生长一般包含三个比较重要的问题： 1. 种子点的选取 2. 生长准则 3. 终止条件 可以认为，这三个问题需要具体分析，而且每个问题解决的好坏直接关系到 区域生长的结果。-this function is the outcome of the Regional Growth said black pixels,
Kdd
- 特征选择算法的改进．．．比较实践证明是个优秀的算法-feature selection algorithm improvements. . . Practice has proved that it is more an outstanding Algorithm
NegetiveSelect
- 否定选择算法的源码,希望大家多多下载,-negative selection algorithm source code, I hope Members can download,
FCBF-java
- Feature selection is a preprocessing technique frequently used in data mining and machine learning tasks. It can reduce dimensionality, remove irrelevant data, increase learning accuracy, and improve results comprehensib
SGA2[1].0
- GA（Simple Genetic Algorithm）是一种强大的智能多变量优化算法，它模仿种群繁殖规律来进行优化。 本SGA可以优化变量，求最小值,最大值（当把函数倒数也就求最小值啦） 并且支持浮点编码，grey编码，二进制编码；轮赌法选择，锦标赛选择；单点交叉，均布交叉，浮点交叉；单点变异，浮点变异；-GA (Simple Genetic Algorithm) is a powerful, intelligent mult
SimpleGA
- 该程序为使用了轮盘赌选择方式、单点交叉和基本位变异算子，内嵌精英保留策略的基本遗传算法。其实现使用了固定数组，使用一个常用的测试函数。-The procedure for the use of a roulette wheel selection, single-point crossover and basic bit mutation operator, embedded elite reservation strategy for
Programme
- 这是用vc++编写的克隆选择算法的源程序，可用于模式识别。-This is used vc++ Prepared source of clonal selection algorithm can be used for pattern recognition.
umll
- 学生选课系统的类图设计实验报告，主要包括实验目的原理结果及分析-Student Course Selection System Design class diagram experimental report, the main purpose of including the principle of the experiment results and analysis
Featureselectiontodiagnoseabusinesscrisisbyusingar
- 用遗传算法进行特征选择并优化支持向量机的核函数参数和惩罚因子-Using genetic algorithm feature selection and optimization of SVM kernel function parameters and punish factor
rjGaussian
- gaussian algorithm for Bayesian Model Selection
lda
- 经典的LDA特征选择算法，用matlab实现，包括数据集-LDA classic feature selection algorithm, using matlab to achieve, including a data set
AttributeSelectedClassifier
- 分类的属性选择算法，《机器学习及java实现里面的》-Classification attribute selection algorithm, Machine Learning and java to achieve inside
TSP
- 用遗传算法解决旅行商问题，并用图形界面显示出来。比较了分别采用轮盘赌选择算子和锦标赛选择算子的遗传算法求解TSP问题的性能，包括：运行时间、进化总代数和最优解质量。 结果曲线可以用图形显示出来。-Genetic algorithm is used to solve the traveling salesman problem, and use graphical interface is displayed. Compared usin
@linear
- 针对SVM法线特征筛选算法仅考虑法线对特征筛选的贡献,而忽略了特征分布对特征筛选的贡献的不足,在对SVM法线算法进行分析的基础上,基于特征在正、负例中出现概率的不同提出了加权SVM法线算法,该算法考虑到了法线和特征的分布.通过试验可以看出,在使用较小的特征空间时,与SVM法线算法和信息增益算法相比,加权SVM法线算法具有更好的特征筛选性能.-Normal feature selection for SVM algorithm only
Boosting-beta2
- AdaBoost is an efficient tool in machine learning. It can combine a series of weak learners into a strong learner. Besides pattern classification, it also can be applied into feature selection. This document explains the
QuantumClonalEvolutionaryAlgorithms
- 本文在量子进化算法的基础上结合基于克隆选择学说的克隆算子,提出了改进的进化算法———量子克 隆进化策略算法(QCES) . 它既借鉴了量子进化算法的高效并行性又利用克隆算子来代替其中的变异和选择操作,以 增加种群的多样性,避免了早熟,且收敛速度快. 本文不仅从理论上证明了该算法的收敛,而且通过仿真实验表明了此 算法的优越性.-In this paper, quantum evolutionary algorithm bas
sequential_forward_selection
- 自己编的matlab程序。用于模式识别中特征的提取。是特征提取中的Sequential Forward Selection方法，简称sfs.它可以结合Maximum-Likelihood-Classifier分类器进行使用。-The matlab own procedures. For Pattern Recognition Feature Extraction. Feature Extraction is the Sequential