搜索资源列表
logistic
- logistic和peano扫描的matlab实现-logistic and Peano scanning achieve Matlab
Logistic5
- 程序为用加权一阶局域预测法对Logistic影射进行预测：） -procedures for the use of a weighted-Local Forecast Logistic alluding to forecast :)
logistic_pso
- 利用logistic混沌搜索方法对传统粒子群进行该进，并用于多目标决策
现代统计学与ＳＡＳ应用
- 本书共分６篇，第１篇统计学基础知识与ＳＡＳ软件应用技巧，介绍了统计学的基本概念和学习方法、试验设计入门、统计描述、ＳＡＳ软件应用入门、编写ＳＡＳ实用程序的技巧、单变量统计分析和利用SAS／GRAPH模块绘制常用统计图的方法。第２篇试验设计与定量资料的统计分析，介绍了与ｔ检验、非参数检验和各种方差分析有关的试验设计和数据处理方法。第３篇试验设计与定性资料的统计分析，介绍了处理二维及高维列联表资料的各种统计分析 方法，包括卡方检验、Fisher的精确检验、典型相关分析、logistic回归模型和对数
混沌与非线性里面的logistic跌代算法
- 混沌与非线性里面的logistic跌代算法 详细阐述了如何迭代，以及如何画出迭代走势图
ChaosHelp3_22
- this MAPLE file can calculate and plot chaos behevior of nonlinear system include logistic map, bifurcation diagram, mapping and etc.
logistics_map
- chaos map : Logistic map
Logistic
- 绘制Logistic曲线方程。Logistic方程在预测学、信息科学、生物学、农学和经济学等领域都有较为广泛的应用。-Draw the logistic curve equation. Logistic equation has a more widely used in the field of predictive science, information science, biology, agronomy and economics.
wald
- 用LUA编写的logistic回归分析中的wald检验-wald test in logistic regression using LUA
logistic
- Computation of the logistic map.
BigDataRefcardScript
- Some simple statistical learning techniques, demonstrated with the R language. Including linear regression, logistic regression, neural network example, support vector machine, and random forest example usage and the corresponding libraries needed.
LikelihoodFunction
- the likelihood function of logistic algorithm
Logist_Regression
- Logistic regression （逻辑回归）是当前业界比较常用的机器学习方法-Logistic regression (logistic regression) is more commonly used current industry machine learning methods
Logistic regression using Newton-Rapson methodology
- Logistic regression with newton rapson method. Written in C#. Net as Console App. Works perfectly Note: I used Türkçe When i decided to use türkçe names.
logistic-regression
- implementation of logistic regrassion
Logistic函数的MATLAB实现
- 关于matlab logistic算法的说明资料。(Descr iptive information about logistic matlab algorithm.)
Logistic Regression
- K class Logistic Regression Classification based on K binary logistic classifiers
Logistic
- 基于Logistic回归采用梯度提升算法及算法改进(Logistic regression and algorithm improvement)
Classifiers
- 我们需要成百上千的分类器来解决现实世界的分类吗 我们评估179分类17种分类器（判别分析，贝叶斯，神经网络，支持向量机，决策树，基于规则的分类器，升压、装袋、堆放、随机森林和其他合奏，广义线性模型，线性，偏最小二乘法和主成分回归，logistic回归、多项式回归、多元自适应回归样条等方法），实现在WEKA，R（有或没有插入包），C和Matlab，包括所有目前可用的相关分类。(Do-we-Need-Hundreds-of-Classifiers-to-Solve-Real-World-Class
人口预测模型
- 数学建模人口预测程序加例子，用马尔萨斯＋logistic做的(Mathematical modeling of population prediction program and examples, using Malthus + logistic)