搜索资源列表
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- bp网的程序，设计一个神经网络字符分类器对英文字母进行分类。输入向量含有16个分量，输出向量分别用设置的T向量，还不完善，有待改进-bp network program, character design a neural network classifier to classify the English alphabet. Input vector contains 16 components, respectively T vector output vector set, not per
basy_clasifly
- 这是一个贝叶斯分类器程序，可以使用设计的分类器进行文档分类，非常有利于进行模式识别研究学习-This is a Bayesian classifier, you can use the design of the classifier for document classification, is very conducive to learning for pattern recognition research
MinNearClasser
- k最邻近算法，经典的分类算法设计的分类器，灰常有用哦-k nearest neighbor algorithm, the classical classification algorithms classifier design, often with gray
exp1
- Fisher线性分类器的设计及Bayes决策的错误率的计算-Calculate Fisher linear classifier design and Bayes error rate decisions
svm
- 这是一个svm分类器的设计，有很好的效果，可以输入几个分类特征进行分类-This is a svm classifier design, with very good results, you can enter several categories to classify features
fenleiqi
- 线性分类器的设计 导入EXCEL表格 模式识别课程-Linear classifier design into EXCEL spreadsheet pattern recognition programs
speech-emotion-recognition
- 过特定人语音情感数据库的建立；语音情感特征提取；语音情感分类器的设计，完成了一个特定人语音情感识别的初步系统。对于单个特定人，可以识别平静、悲伤、愤怒、惊讶、高兴5种情感，除愤怒和高兴之间混淆程度相对较大之外，各类之间区分特性良好，平均分类正确率为93.7 。对于三个特定人组成的特定人群，可以识别平静、愤怒、悲伤3种情感，各类之间区分特性良好，平均分类正确率为94.4 。其中分类器采用混合高斯分布模型。-The system of speech emotion recognition
ANN
- 一个运用BP神经网络设计数字识别的分类器的demo，用opencv实现的。-A digit recognition using BP neural network design classifier demo, with opencv.
Kjunzhi
- K均值聚类。加深对K均值聚类分析算法的理解，掌握K 均值聚类分析分类器的设计方法。-K-means clustering. Deepen the K-means clustering algorithm to understand and master K-means clustering analysis classifier design method
Fisher1
- Fisher线性分类器的设计,1、掌握Fisher线性判别方法；2、掌握Bayes决策的错误率的计算；3、掌握分类器错误率的估算方法。 -The design of Fisher.
demo
- 印刷体汉字识别，VC++。包括汉字的特征提取，分类器的设计，选用人工神经网络等方法。-Printed character recognition, VC++. Including Chinese characters feature extraction, classifier design, selection of artificial neural networks and other methods.
Untitled3
- 根据实验数据设计K 均值聚类分析分类器。-Classification is based on experimental data analysis design K-means clustering.
bayes1
- 用matlab完成分类器的设计，说明文字程序相应语句，子程序有调用过程-Using matlab complete classifier design, captions program corresponding statement, calling subroutines process
bayes2
- 设计程序，完成基于最小风险的贝叶斯分类器，画出相应的后验概率的分布曲线和分类结果。-Design process, complete the minimum risk-based Bayesian classifier, drawn profiles and classification results corresponding posterior probability.
Byes
- 实现简单贝叶斯分类器的设计，分类结果误差很小，效果可以-Simple Bayesian classifier design, classification error is very small.
SURF
- 基于surf的图片分类器，用matlab设计完成，功能简单明了-Surf images based classifier using matlab design is completed, the function is simple
program
- 用梯度下降算法设计线性分类器，包括原始采集数据，相应的主程序以及sigmoid/代价函数等子程序，最后对分类的精确性进行了预测-Gradient descent algorithm design linear classifier, including the original data collection, appropriate main and sigmoid/cost function and other routines, the final classification accur
模式识别bayes实验
- 用身高和/或体重数据进行性别分类的实验 试验直接设计线性分类器的方法，与基于概率密度估计的贝叶斯分离器进行比较。 体会留一法估计错误率的方法和结果
bayesleastrisk
- baye sleastrisk贝叶斯分类实验，设计简单的线性分类器-bayes leastrisk；bayes leastrisk
Bayes-pso-Classier
- 模式识别的贝叶斯公式进行设计分类器A Bayesian formulation for large data pattern recognition is designed for classifier-A Bayesian formulation for large data pattern recognition is designed for classifier