搜索资源列表
pca
- pca人脸识别This package implements basic Principal Component Analysis in Matlab and tests is with grayscale portion of the FERET database. Images are not preprocessed and it is up to the user to preprocess the images as wanted, not changing the fil
createDistMat
- PCA人脸识别 This package implements basic Principal Component Analysis in Matlab and tests is with grayscale portion of the FERET database. Images are not preprocessed and it is up to the user to preprocess the images as wanted, not changing the fi
ISODATA
- 模式识别下的ISODATA算法 例子为IRIS数据库数据-ISODATA algorithm for pattern recognition under the examples for the IRIS database data
psoaco
- 求解离散问题的pso aco 算法,含german信用数据库-Solving the problem of discrete pso aco algorithm, with german credit database
FLDbasedFaceRecognitionSystem_v2
- 基于fisherface的人脸图像识别,采用lda降维的方法来识别人脸图像-This package implements a well-known FLD-based face recognition method, which is called Fisherface [1]. All functions are easy to use, as they are heavy commented. Furtheremore, a sample scr ipt is incl
SVM-iris
- 在matlab环境下,实现鸢尾花数据库的SVM分类,没有使用现成的工具包。-SVM classifier in Matlab environment, iris database, do not use off-the-shelf tool kit.
pubfigDownloadingaMD5checking
- 下载PUBFIG人脸数据库的程序代码(matlab版本),同时包括后续处理代码,如对下载后的人脸图片核对其MD5校验码以确定是否是数据库中原始发布的图片。-Matlab code for downloading the face images of the PUBFIG database distributed just with a list of URL of images. If you want to use this database you have to download it y
人工嗅觉系统
- 这个文件里面包含了人工嗅觉系统,BP神经网络,数据库,特征提取(This file contains artificial olfactory system, BP neural network, database, feature extraction)
RB1705_BP
- 使用matlab,通过bp前导神经网络,分析螺纹钢1705,预测第二天的走势,数据库采用wind的数据库。准确率尚可。(The use of MATLAB, through the BP leading neural network analysis of rebar 1705, predict the trend of second days, the database using wind database. The accuracy rate is acceptable.)
BP神经网络
- 第一个m文件:构造、训练BP神经网络并计算其识别率;第二个文件将进行人脸检测。注意:orl人脸数据库需要在网上下载。(The function of the first m file is to construct and train the BP neural network and calculate its recognition rate. The second is the detection of face. Note: the ORL face database needs to
第 08 章 基于知识库的手写体数字识别
- 通过深度学习,利用已有库文件提取手写体图信息。与数据库中的内容进行对比,来识别手写体字母。(Through in-depth learning, handwritten graphic information is extracted from existing library files. Compare with the content in the database to recognize handwritten letters.)
