资源列表
bayesfenleiqi
- 模式识别--VISUAL C++环境下编写的贝叶斯分类器（bayes）,值得收藏-Pattern Recognition- VISUAL C++ Environment prepared by Bayesian Classifier (bayes), worthy of collection
HopfieldNN0-9Recognise
- This code in this directory implements the binary hopfield network. Source code may be found in HOPNET.CPP. A sample training file is H7x8N4.trn. Sample test pattern files are: H7x8D4.TST, H5x8D7.TST, H5x8D7.TST and H5x8D9.TST, Output of the pr
SolutionPR
- 模式识别_贝叶斯分类器-pattern recognition _ Bayesian classifier
ParticleSwarm.tar
- 粒子群算法的matlab程序源码，有详细的说明，适合初接触者。-Particle swarm algorithm of matlab source, a detailed instructions, suitable for the early contact.
Mavlabautomatic
- matlab的GUI毕业设计有关自动控制原理时域分析,不错的-Matlab GUI graduation design about automatic control principle of time domain analysis, good
RBF_example_IRIS
- RBF神经网络应用于IRIS数据集的例子-Am example of RBF-NN applied on IRIS Data Set
MOPSO
- multi-objective particle swarm optimization 的很好算法，供学习。-multi-objective particle swarm optimization algorithm is good for learning.
33968229
- matlab的GUI毕业设计有关自动控制原理时域分析,不错的-Matlab GUI graduation design about automatic control principle of time domain analysis, good
Perceptron-and-ADALINE-network
- 这些程序包括以下方面1.使用感知器和ADALINE网络对字母进行识别。2.随机选取初始权向量，选取适当的迭代步长(对ADALINE网络)，用给出的四个输入训练样本，对上述两个网络分别进行训练，直到网络收敛；3.对Adaline网络选取不同的值，分别画出误差曲线，观察它们的变化规律；4.对感知器选取不同的初始权向量，分别计算每类训练样本到超平面的距离，观察它们的异同；5.训练结束后，检验网络的识别能力(使用100个检测样本，对应于每个取25个含噪的变形)：6.比较Adaline和单神经元感知器的分
SVM
- 支持向量机的一些小程序，对写有关职能控制方面的论文有一定的帮助-SVM small programs to write the functions of the control of the papers have some help
RoughSet.rar
- 粗糙集的相关算法 最近研究这方面的内容 希望有用可以帮到大家,Rough Set algorithm recent studies related to the contents of this area seek to help can help you
FaceAlignment-master
- 基于显式形状回归算法（explicit shape regression algorithm）