资源列表
fisher
- Fisher判别分析，能够通过该程序，实现相应的样本分类-Fisher discriminant analysis, through the program, realize the classification of samples of the corresponding
multi_regress
- 多元回归分析，通过该分析，能够较好地对数据进行回归。-Multiple regression analysis, through the analysis, can be better for data regression.
byes
- 贝叶斯判别分析，能够较好地实现对样本的分类，方法简单易行。-Bias discriminant analysis, to better achieve the classification of samples, simple and easy method.
julipanbie
- 距离判别分析，能够较好地实现对样本的分类，方法简单易行。-Distance discriminant analysis, to better achieve the classification of samples, simple and easy method.
zhubupanbie
- 逐步判别分析，能够较好地实现对样本的分类，方法简单易行。-Stepwise discriminant analysis, to better achieve the classification of samples, simple and easy method.
9462
- 分章节给出了Pattern Recognition with Neural Networks in C++（C++在模式识别与神经网络应用）的代码，对于初学者有较好的借鉴作用-Sub-sections given Pattern Recognition with Neural Networks in C++ (C++ code in pattern recognition and neural network application) for beginners have a good refe
lda
- 基于lda的主题提取，从txt类型的源码中提取出整篇文档的关键字（主题）-lda model extraction
bp-pi
- 用经验公式优化PI参数，设计神经网络，模拟闭环系统响应。-With experience formula to optimize PI parameter, design neural networks, analog closed-loop system response.
pso-pid
- 用粒子群算法对目标函数进行优化的matlab程序。-Using particle swarm algorithm optimize the objective function of the matlab program.
pso-bianshi
- 已知控制对象和目标函数，用粒子群算法对系统进行辨识的matlab程序。-Known control object and the objective function, particle swarm optimization (pso) algorithm for system identification of matlab program.
-On-lineELM
- 一种快速而准确的线顺序前馈神经网络学习算法,是单隐层的、带径向基函数的网络，比传统神经网络快，且精度高。-an online sequential learning algorithm for single hidden layer feedforward networks (SLFNs) with additive or radial basis function (RBF) hidden nodes in a unified framework
shenjingwangluo
- 电力系统神经网络的一个示例，p为特征向量。t为输出类型。-An example of the neural network of the power system, p eigenvectors. t is the output type.