搜索资源列表
Handwritten_numeral_recognition
- 手写数字识别,分为分类程序(模板匹配分类器、Bayes分类器、线性函数分类法、非线性分类法、神经网络分类器)和聚类程序(模糊聚类、遗传算法)-Handwritten numeral recognition, is divided into classification procedures (template matching classifier, Bayes classifier, a linear function of classification, non-linear classif
Pattern-Recognition-ppt
- 介绍模式识别的基本概念,详述了贝叶斯,参数估计,线性分类器,神经网络,随机方法,无监督学习与聚类等-Introduce the basic concepts of pattern recognition, Bayesian detailed, parameter estimation, linear classifiers, neural networks, stochastic methods, unsupervised learning and clustering, etc.
Pattern-Recognition_MATLAB_1
- 线性分类器设计,1_k近邻法,剪辑法,ANN-BP神经网络法,聚类分析法,特征选择,特征提取等模式识别常用算法,内有matlab可运行实现,还有word文档的说明。对于学习,是做好的资料。-Commonly used algorithm for linear classifier design the 1_k nearest neighbor, clip, ANN-BP neural network method, cluster analysis, feature selection, fea
pattern
- 该文档是模式识别的原理、方法与应用。该文档包括模式判别、数据聚类、统计分类、神经网络等-failed to translate
Foreign-license-plate-recognition
- 车牌识别,利用颜色聚类法进行车牌定位,并利用模板进行神经网络的训练并检测,有GUI界面。- License plate recognition, clustering method using color plates positioning, and use templates to train the neural network and detect with GUI interface.