搜索资源列表
Iris-recognition
- 虹膜识别 源代码 matlab 霍夫变换 hough变换 (解压后放在一个文件夹下)-Iris recognition source code matlab hough transform hough transform (decompression after a folder)
IrisEye-Recognition-master
- zPreProcess ==> Proses Segmentasi Gambar Mata zFeatureExtract ==> Proses Ekstraksi Fitur Gambar Mata ZKlasifikasi ==> Proses Klasifikasi Mata Menggunakan Data Test dan Data Train
iris_classification_svm
- iris_classification_svm iris_classification_svm
LDAfenlei
- 此程序主要用来对iris数据集进行分类，主要训练二分类器。(This program is mainly used to classify iris data sets)
Iris数据集BP神经网络实例代码
- Iris数据集BP神经网络实例代码，该例子程序提供AForge.NET实现和matlab实现两种途径(Iris data set, BP neural network example code)
segmentiris
- iris segmantation in matlab
虹膜识别 源代码 matlab 霍夫变换 hough变换 2
- matlab虹膜识别代码，采用霍夫变换，供matlab学习(Matlab iris recognition code, using the Hof transform for matlab learning)
ANN-master
- 通过使用iris数据集，初步学习神经网络的同学使用(Through the use of iris data sets, a preliminary study of neural networks is used by students)
AllData
- 主要用matlab进行逻辑回归数据化处理等等一些啊什么的(The data set contains 3 classes of 50 instances each, where each class refers to a type of iris plant. One class is linearly separable from the other 2; the latter is NOT linearly separable from each other.)
iriscode
- 基于MATLAB的虹膜识别源代码（The source code of iris recognition based on MATLAB）(The source code of iris recognition based on MATLAB)
MATLAB
- 鸢尾花识别程序，可以运行，望大神调整一下。(Iris flower recognition program,Can run,look great god adjustment.)
Matlab_features-20171123T110231Z-001
- iris recognition zipped file
BP神经网络-鸢尾花分类代码+文档
- BP神经网络-鸢尾花分类代码+文档，可以直接运行(BP neural network - iris code + document, can run directly)
IrisDetectionHough-master
- matlab code for iris detection
模式识别实验一
- matlab,模式识别，基于Iris数据设计编写两类正态分布模式的贝叶斯判别程序(Pattern recognition report, based on Iris data design, two kinds of Bayesian discriminant program for normal distribution mode are written.)
新建 360压缩 ZIP 文件
- 编写两类正态分布模式的贝叶斯分类程序 了解正态分布模式的贝叶斯分类判别函数(IRIS simulation of Bias pattern recognition)
Irisflower-class-code
- 实验将Iris花的数据集分为2组，每组各75个样本，每组中每种花各有25个样本。其中一组作为以上程序的训练样本，另外一组作为检验样本。为了方便训练，将3类花分别编号为1，2，3 。 使用这些数据训练一个4输入（分别对应4个特征），3输出（分别对应该样本属于某一品种的可能性大小）的前向网络。(The data set of Iris flower was divided into 2 groups, 75 samples in each group. Each group had 25 sam
Image quality evaluatio
- 这是一个虹膜识别的程序，含有人机交互是界面。是个不错的设计。(This is a program of iris recognition, which includes human computer interaction and interface. It's a good design.)
MATLAB实现鸢尾花数据集分类
- 基于BP算法的鸢尾花数据集分类，在MATLAB平台下编程实现BP算法，可计算识别率。(Based on the BP algorithm, iris data set is classified. Under the MATLAB platform, the BP algorithm is programmed and the recognition rate can be calculated.)
S_SVM
- 在matlab平台上使用SVM对iris数据集进行分类(use SVM Classification of Iris data set in matlab)