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Description: 1、从数据库中检索出数据，动态的生成弹出式树结构菜单
2、利用双列的数据库表生成树结构函数
3、数据窗口点击标题可以实现动态按列排序功能，现有缺陷是拖动拉杆后不能进行排序
4、动态生成查找的sql程序，实现多个条件结合的模糊万能查寻
5、生成不重复的序列号函数
6、动态生成数据窗口的显示列，使用了各种对datawindow的修改定义功能
7、系统统一的错误处理功能，及生成出错的日志报表和登录日志
7、将数据窗口中选择的特定行导出到excel文件中
8、数据窗口的多行选择技巧
9、treeview中的中文不能显示的问题解决
10、利用dblog -n yourdatabase的方法去除db数据库的log日志文件的生成。
11、将excel文件导入datawindow的技巧-1, from the database to retrieve data, and dynamic generation of pop-up menus two tree structure, the dual-use database table Spanning Tree Structure Function 3, data Click on the title of the window can be achieved by dynamic sequencing feature out that the existing limitation of the drag link can not rank 4, Dynamic Health sql into the search process, several conditions for the realization of integration of fuzzy searching omnipotent 5, generating not repeat the sequence of function 6, dynamically generated data show that out of the window, using a variety of datawindow to revise the definition of functional 7, a uniform system of error-handling capabilities, and generating the error log statements Login and log 7, the data window to choose the specific firms exported to excel eight docu
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Size: 5194660 |
Author: 李平 |
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Description: 一种关于模糊数据库技术的电子读物。包括模糊查询技术，设计方案，和简单的代码介绍。-a fuzzy database technology for electronic books. Including fuzzy query technology, design programs, and introduce a simple code.
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Size: 194533 |
Author: 宋麟 |
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Description: 智能化查询过程C语言源代码,程序用来查询用户输入的信息，如果查到，则输出；若没有查到，则向用户询问，且具有记忆和自动更新数据库功能。不足之处在于，没有实现模糊查询（利用字符串匹配的知识不难自行增加相应功能）；没有实现删除错误信息的功能，以后有时间慢慢添加吧。暂时可以看作一个对文件操作的小程序-intelligent inquiry C language source code, procedures can be used to query the user input information, if available, the output; If not available, ask to the user and having memory and automatic updating of the database functions. Deficiencies lies in the fact that not achieve fuzzy query (using string matching is not hard to increase the knowledge of the corresponding function); Not realizing the wrong message to delete functions, the future slowly add it. I can document as a small operation procedures
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Size: 3274 |
Author: 黄羽翔 |
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Description: 本程序主要的功能是：ListCtrl的应用，数据库的模糊与精确查询-this program is the main function : ListCtrl the application of fuzzy database inquiries with precision
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Size: 40029 |
Author: 林炳忠 |
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Description: 一个很小很实用的数据库模糊查询程序,可实现几种条件的查询.-a very practical small fuzzy database queries, can be realized for several inquiries.
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Size: 351343 |
Author: 飞天猫 |
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Description: 本程序主要的功能是：ListCtrl的应用，数据库的模糊与精确查询-this program is the main function : ListCtrl the application of fuzzy database inquiries with precision
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Size: 2011136 |
Author: 林炳忠 |
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Description: 一个很小很实用的数据库模糊查询程序,可实现几种条件的查询.-a very practical small fuzzy database queries, can be realized for several inquiries.
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Size: 351232 |
Author: 飞天猫 |
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Description: 基于VB开发的土壤指标测量的数据库查询代码，用于环境工程专业等，可以进行土壤的指数评价、土壤模糊评价等功能-VB-based development indicators measuring the soil database query code for the environmental engineering profession, Soil can index, soil fuzzy evaluation, and other functions
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Size: 158720 |
Author: cnu |
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Description: 学生档案管理系统,有登录模块，档案录入模块，组合查找模块，模糊查找模块,采用Access数据库-students file management system, a login module, the file input module, which combined search module, Fuzzy Search module, Access database
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Size: 461824 |
Author: abc |
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Description: 很好的名片程序,PB开发，可以学习用.有数据库模糊查询设计-Good business card program, PB development, can learn to use. Have fuzzy database query design
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Size: 325632 |
Author: hzgok |
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Description: 本实例是vc+SQL server小程序,具有数据库的简单查询，更新，删除记录等功能，本程序的查询功能是基于头部匹配的模糊查询。-This example is vc+ SQL server applet with a simple database query, update, delete records and other functions, the procedures for the inquiry is based on the fuzzy query matching head.
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Size: 419840 |
Author: venus |
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Description: 模糊查询，通过输入关键字实现数据库模糊查询-Fuzzy query, by entering keywords realize fuzzy database query
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Size: 358400 |
Author: wfhl |
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Description: 网上购物系统 管理员模块和用户模块，支持模糊查询商品，JAVA编写，MYSQL数据库。-Online shopping system administrator module and user module, to support the fuzzy inquiry of goods, JAVA prepared, MYSQL database.
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Size: 825344 |
Author: 宋文超 |
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Description: （压缩包里一共有5个代码）
pca+lda+粗糙集+模糊神经网络
saveORLimage.m将ORL人脸库分为测试集ptest和训练集pstudy存为imagedata.mat
1.savelda.m将人脸库先进行pca降维，再用lda进行特征提取，得到新的测试集ldatest和训练集ldastudy存为imageldadata.mat
2.对ldastudy进行离散化(discretimage.m)，得到离散化矩阵disdata,存入到imagedisdata.mat
3.将disdata组成决策表(savers.m)，通过对disdata的条件属性进行约简，得到其一个约简，组成新的测试集rstest和训练集rsstudy存为imagersdata.mat
4.对rsstudy进行模糊神经网络训练(savecul.m)，对模糊神经网络的参数进行调整学习将其存入culdata.mat
5.用runfnn.m对rstest进行测试得到其识别率
savem.m和cm.m是用最小距离分类器对训练集和测试集进行分类.-pca+ lda+ Rough Set+ fuzzy neural network
saveORLimage.m will ORL face database is divided into test set and training set ptest for pstudy keep imagedata.mat
Treasury will face 1.savelda.m first dimensionality reduction pca, lda used feature extraction, a new test set and training set ldatest for ldastudy keep imageldadata.mat
2. Ldastudy carried out on the discretization (discretimage.m), to be discrete matrix of disdata, deposited to imagedisdata.mat
3. Disdata the composition of the decision table (savers.m), the conditions on the attributes disdata about Jane, has been one of its reduction to form the new test set and training set rstest for rsstudy keep imagersdata.mat
4. Rsstudy training fuzzy neural network (savecul.m), on the parameters of fuzzy neural network to learn to adjust their deposit culdata.mat
5. Rstest used to test for runfnn.m by its recognition rate
cm.m is savem.m and minimum distance classifier on the training set and test set classificati
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Size: 2048 |
Author: dong |
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Description: 提出了基于特征融合和模糊核判别分析(FKDA)的面部表情识别方法。首先，从每幅人脸图像中手工定
位34个基准点，作为面部表情图像的几何特征，同时采用Gabor小波变换方法对每幅表情图像进行变换，并提取基
准点处的Gabor小波系数值作为表情图像的Gabor特征；其次，利用典型相关分析技术对几何特征和Gabor特征进
行特征融合，作为表情识别的输人特征；然后，利用模糊核判别分析方法进一步提取表情的鉴别特征；最后，采用最
近邻分类器完成表情的分类识别。通过在JAFFE国际表情数据库和Ekman“面部表情图片”数据库上的实验，证实
了所提方法的有效性。-Proposed based on feature fusion and fuzzy kernel discriminant analysis (FKDA) facial expression recognition. First, face images of each piece of hand-set
Bit 34 basis points, as the geometric features of facial expression images, while using Gabor wavelet transform method to transform the images of each piece of expression, and extraction-based
Quasi-point of the Gabor wavelet coefficients, as Gabor features of facial expression image second, using canonical correlation analysis on the geometric features and Gabor features into
Line feature fusion, as expression recognition of input features then, using fuzzy kernel discriminant analysis method to extract and further identification features of expression Finally, the most
Neighbor classifier to complete expression of the classification. International expression by JAFFE database and Ekman "facial image" database on the experiment, confirmed
The proposed method.
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Size: 375808 |
Author: MJ |
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Description: There are two main approaches for implementing IDS Host based and Network based. While the former is implemented in
form of software deployed on a host, the latter, usually is built as a
hardware product with its own hardware platform (IDS appliance).
In this paper, a host based intrusion detection system, that uses the
idea of tracing system calls, is introduced. As a program runs, it
uses the services of the underlying operating system to do some
system calls. This system does not exactly need to know the
program codes of each process. Normal and intrusive behaviors are
collected with gathering the sequences of system calls for each
process. Analysis of data is done via data mining and fuzzy
techniques. Data mining is used to extract normal behaviors
(normal unique rules) and Fuzzy to enhance intelligence of the
System. The proposed system is shown to improve the
performance, and decrease size of database, time complexity, and
rate of false alarms.-There are two main approaches for implementing IDS Host based and Network based. While the former is implemented in
form of software deployed on a host, the latter, usually is built as a
hardware product with its own hardware platform (IDS appliance).
In this paper, a host based intrusion detection system, that uses the
idea of tracing system calls, is introduced. As a program runs, it
uses the services of the underlying operating system to do some
system calls. This system does not exactly need to know the
program codes of each process. Normal and intrusive behaviors are
collected with gathering the sequences of system calls for each
process. Analysis of data is done via data mining and fuzzy
techniques. Data mining is used to extract normal behaviors
(normal unique rules) and Fuzzy to enhance intelligence of the
System. The proposed system is shown to improve the
performance, and decrease size of database, time complexity, and
rate of false alarms.
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Size: 710656 |
Author: keerthi |
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Description: 设计并调试一学生成绩管理系统，C#作为前台开发工具，Access完成后台数据库的管理。创建学生成绩管理系统所需的表，实现对学生成绩、课程、学生基本信息进行录入、修改、删除、查询的功能；其中查询应完成模糊查询和精确查询。数据库-Design and commissioning of a student performance management system, C# development tool as a front, Access to complete back-end database management. Student performance management system to create the required tables, to achieve student performance, curriculum, students basic information input, modify, delete, search functions fuzzy query where the query should be completed and accurate information.
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Size: 325632 |
Author: ZHANGCHUNYANG |
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Description: Fuzzy (TSK) (size 11KB) contains Matlab source code. There are 23 files include JENKIN database.
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Size: 11264 |
Author: Bongyoun Kim |
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Description: The algorithm first searches the database and returns the
complete set containing all attributes of the database. In a
second step, a transformed fuzzy database is created from
the original one.
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Size: 1024 |
Author: Karthik |
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Description: 设计并实现一个简易学生学籍管理网站。其主要页面包括：学生列表展示、学生详细信息展示、学生成绩管理、管理员注册，管理员登录、学生管理等页面。数据库使用VS2010集成的SQL2008EXPRESS，数据库文件名为:Students(Design and implementation of a simple student status management website. Its main pages include: student list display, student information display, student achievement management, administrator registration, administrator login, student management and other pages. The database uses the VS2010 integrated SQL2008EXPRESS, and the database file is called Students)
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Size: 13312 |
Author: 110.
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