搜索资源列表
LMS2dim2u
- LMS2dim2u:分类线过原点的2维两类不可分样本的分类-LMS2dim2u : classification of zero-crossing the line two hours, not two-dimensional sample separation
lms2dim3
- 分类线不过原点的2维两类不可分样本的分类分类线不过原点的2维两类可分样本的分类,还有些课件.-classification lines origin can not be two types of two-dimensional samples of the sub-classification classification line but the origin can be divided into two types of two-dimensional samples classific
szsbxtydm
- 数字识别系统源代码.rar 第一步:训练网络。使用训练样本进行训练。(此程序中也可以不训练,因为笔者已经将训练好的网络参数保存起来了,读者使用时可以直接识别) 第二步:识别。首先,打开图像(256色);再次,进行归一化处理,点击“一次性处理”;最后,点击“R”或者使用菜单找到相应项来进行识别。识别的结果显示在屏幕上,同时也输出到文件result.txt中。 该系统的识别率一般情况下为90%。 此外,也可以单独对打开的图片一步一步进行图像预处理工作,但要注意
Apriori_Kidney
- 以从医院病案室获得的3022例数据为样本,在完成样本数据库以及糖尿病并发症的多维数据集设计后,以糖尿病并发症流行病学知识发现为重点,研究定性数据定量化挖掘模型及算法引擎的设计与实现,即将关联模型引入糖尿病并发症的流行病学研究,应用集合论中的Apriori性质,实现关联规则的挖掘引擎设计。-cases from the hospital to obtain the data for 3,022 cases samples the completion of the sample database
C4.5_Kidney
- 以从医院病案室获得的3022例数据为样本,在完成样本数据库以及糖尿病并发症的多维数据集设计后,以糖尿病并发症流行病学知识发现为重点,研究定性数据定量化挖掘模型及算法引擎的设计与实现,即将关联模型引入糖尿病并发症的流行病学研究.运用决策树技术对数据样本进行分析,采用C4.5找到最优决策树-cases from the hospital to obtain the data for 3,022 cases samples the completion of the sample database a
ID3_kidney
- 以从医院病案室获得的3022例数据为样本,在完成样本数据库以及糖尿病并发症的多维数据集设计后,以糖尿病并发症流行病学知识发现为重点,研究定性数据定量化挖掘模型及算法引擎的设计与实现,即将关联模型引入糖尿病并发症的流行病学研究,运用决策树技术对数据样本进行分析,采用ID3算法找到最优决策树。-cases from the hospital to obtain the data for 3,022 cases samples the completion of the sample database
tree_Kidney
- 以从医院病案室获得的3022例数据为样本,在完成样本数据库以及糖尿病并发症的多维数据集设计后,以糖尿病并发症流行病学知识发现为重点,研究定性数据定量化挖掘模型及算法引擎的设计与实现,即将关联模型引入糖尿病并发症的流行病学研究,运用决策树技术对数据样本进行分析.程序功能:增熵分析-cases from the hospital to obtain the data for 3,022 cases samples the completion of the sample database and d
ybscx
- 样本熵MATLAB程序,希望可以共享。 此程序可以计算脑电信号EEG的样本熵的值,可以作为脑电信号分析之用。-samples entropy MATLAB procedures in the hope that can be shared. This procedure can be calculated EEG EEG samples entropy value, as EEG analysis.
fpgrowth(1)
- fpgrowth算法的java程序 运行程序的命令 java -cp fpgrowth.jar association.fptree.Test 100 sample.txt 其中100 是支持度阈值 sample.txt是样本文件名。 注意:如果样本中的项目过多,可能会产生内存溢出错误 运行程序需要JDK 5.0 欢迎交流:xiangyuan.lippi@yahoo.com.cn-fpgrowth algorithm java procedures proce
MotionBlurRestore
- 本源代码实现对于运动模糊图像的恢复,除了源代码之外,还含有样本图片。-source code for the realization of motion - blurred image restoration, in addition to the source code, it also contains sample images.
person1_256
- 超分辨率复原(分块处理) 将样本库中的高分辨率图象和低分辨率图象分别做分块处理,当新输入一幅低分辨率图象时,分成小块到样本库中寻找最匹配的高分辨率块,然后复原出高分辨率图象。-Superresolution recovery (block processing) for a sample of high-resolution images and low-resolution images respectively block , when the new importation of a
person3_1024
- 超分辨率复原(分成1024块) 将样本库中的高分辨率图象和低分辨率图象分别做分块处理,当新输入一幅低分辨率图象时,分成小块到样本库中寻找最匹配的高分辨率块,然后复原出高分辨率图象。-Superresolution recovery (into 1024) for a sample of high-resolution images and low-resolution images, respectively do block, when the new importation of a l
angela-work
- 运用bp神经网络方法实现对8*16像素的手写体0~9数字识别的代码,列出了训练样本以及测试样本-use bp neural network method of 8 * 16 pixels handwritten 0 ~ 9 digital identification code, listed training samples and test samples
BP_xor_c
- C语言版的BP算法,解决异或问题!样本需要人为的加入!建一个txt文件就可以了!-C language version of the BP algorithm, resolve differences or problems! The samples were needed to join! built a txt document can!
iplab
- 最小二乘法圆拟合.编译运行后随便打开一个图片,当然最好是全白的图片,然后就点吧,大于三个点后就会开始拟合。红线画的圆为拟合的圆,深蓝的点为鼠标点击设置的样本点。单击鼠标右键清空样本集。 -least squares fitting round. After running compiler casually open a picture, of course, the best are the white photographs, then on the point bar, more th
eyesample
- 自己裁减的一个AR上的眼睛库,(右眼睛),为训练分类器的你,提供训练样本.-own a reduction of the AR of the eye (right eye), the classification for the training of you, training samples.
cordic_1-0
- Cordic算法的另一种C++实现,只是一个样本,可以用TubroC,等来查看-Cordic algorithms to achieve another C is a sample that can be used TubroC, etc. to see
shouxieshuzishibiedeFisherpanbie
- 脱机字符识别需要建立手写样本库,但由于作者水平有限,就不介绍实例了.这是脱机字符识别中的手写数字识别的Fisher判别.-Offline Character Recognition need handwriting sample database, but because the author is limited, and not on the case. This is offline character recognition of handwritten numeral recognit
shouxieshuzishibiedeFisherxianxingpanbie
- 脱机字符识别需要建立手写样本库,但由于作者水平有限,就不介绍实例了.这是脱机字符识别中的手写数字识别的Fisher判别.-Offline Character Recognition need handwriting sample database, but because the author is limited, and not on the case. This is offline character recognition of handwritten numeral recognit
matlab_svm_facerecongnition
- 先用“gettrainingdata”获取人脸样本库的特征,样本库中每人只有一个样本。 然后用“facerecognition\"输入待识别的人脸,可以较准确的得出结果!-first "gettrainingdata" Access to face the sample characteristics, Each sample repository is only a sample. Then "facerecognition" to the impo