搜索资源列表
训练样本
- 好用的训练样本
根据鸢尾花多组数据先训练网络再对样本进行测试
- 基于BP神经网络，根据鸢尾花多组数据先训练网络再对样本进行测试，给出分类结果,Based on BP neural network, in accordance with multiple sets of data iris network before training again for testing classification results are given
svm.支持向量机中的训练样本的MATLAB源代码程序
- 支持向量机中的训练样本的MATLAB源代码程序,Support Vector Machine training samples in the source code of the MATLAB program
parzen.根据样本进行概率密度函数估计
- parzen窗法，功能是根据样本进行概率密度函数估计。实现了对正态分布概率密度函数和均匀分布双峰概密函数进行估计,Parzen window method, function is based on a sample of the estimated probability density function. The realization of the normal distribution probability density function and uniform distributi
rbf
- 实现了RBF网络，已载入训练和测试样本，可根据需要将其更换-Achieved a RBF network, has been printed in the training and test samples may be needed to replace
bp1
- 基本的BP算法，将训练样本和测试样本已载入，可根据需要更换上述样本-Basic BP algorithm, the training samples and test samples have been loaded, may need to be replaced in accordance with the above-mentioned samples
rbfd
- 基于径向基的神经网络程序。根据目标函数获得样本输入输出-Based on radial basis neural network procedures. According to the objective function to obtain a sample input and output
wenzishibie
- 本目录主要包括：文档和两个源代 其中源代码是识别程序的，另一个是矩阵类库的。 已经保存了训练好的网络权值，所以第一次使用识别程序时，可以直接运行Release目录下的可执行文件，然后对图片目录中的测试图片进行读入、识别。当然也可以自行用训练样本训练网络，不过要注意训练样本的选择，否则可能识别率很低。训练样本选择的原则是，尽可能的有代表性，在训练时间不至于太长的情况下训练样本数目尽量多。-Catalog include: two source documents and source
spxy
- SPXY 一个用于化学计量学分析中样本选择的方法-spxy is a method called sample set partitioning based on joint x-y distances
FastNN
- 简单快速近邻算法：再二维平面一矩形范围内随机产生100个训练样本，任意划分为三个区域，用快速近邻法确定待识别实验样本的所属分类-Simple and rapid nearest neighbor: Another two-dimensional plane within a rectangle of 100 randomly generated training samples, arbitrary divided into three regions, with the fast neares
cross-validation
- matlab交叉验证cross Validation，把样本集分为训练集和测试集，防止网络出现过拟合，提高网络的泛化能力和预测精度-cross Validation for matlab，to estimate the test accuracy,training accuray and validation accuracy of a neural network
一种样本熵的代码
- 一种新的熵的计算方法，可以有效地应用与特征提取的过程中。
样本熵的计算
- 样本熵计算，近似熵计算，matlab实现(Sample entropy calculation, approximate entropy calculation)
SampEn
- 样本熵,用于进行信号的复杂度计算，已调试完成，可直接调用(sample entropy can be used to analyze the complexity of signal.)
贝叶斯决策实现线性样本分类
- MATLAB语言编程，用贝叶斯决策算法实现线性样本分类，输入待分类样本，输出样本分类决策面。(MATLAB programming language, using Bayesian decision algorithm to achieve linear sample classification, input samples to be classified, output samples, classification, decision surface.)
Entropy
- 常见的熵值计算的matlab 程序统计 样本熵 模糊熵 排列熵 多尺度熵 层次熵等(SampleEntorpy FuzzyEntropy PermutationEntropy HierarchicalEntropy)
样本熵
- 求出信号被分解后的样本熵，作为训练和测试样本，为以后的分类与预测做铺垫(The sample entropy is decomposed and used as training and test samples to pave the way for future classification and prediction)
车牌汉字样本
- 车牌识别中汉字训练样本，包含31个省份，每个字符几十到几百个样本。(License plate recognition Chinese character training samples, including 31 provinces, each character tens to hundreds of samples.)
样本熵
- 给已知的若干组脑电数据进行样本熵值的计算(Sample entropy calculation for a number of known sets of EEG data.)
多尺度样本熵
- 自编多尺度样本熵程序，实例中用于一段轴承故障数据，简单易懂。MultiscaleSampleEntropy函数中的SampleEntropy也可以单独拎出来计算单个样本熵。(Multi scale sample entropy is used for a section of bearing fault data, which is easy to understand. SampleEntropy in the MultiscaleSampleEntropy function can also