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【transportation applications】 9Dlg DL : 0: 这是一个关于列车上表盘的编程，用vc++编出一个能够动态显示出表盘走行状况的表盘。-This is a dial on the train, programming, vc++ code with a dynamic display of the dial to the situation of moving dial.
Update : 2024-05-18 Size : 2048 Publisher : 蒋瑾
【Special Effects】 chap11 DL : 0: 本目录主要包括：文档和两个源代码。其中一个源代码是识别程序的，另一个是一个矩阵类库的，书里面也使用过，所以一并附上。因为已经保存了训练好的网络权值，所以第一次使用识别程序时，可以直接运行\\Release目录下的可执行文件，然后对图片目录中的测试图片进行读入、识别。当然读者也可以自行用训练样本训练网络，不过要特别注意训练样本的选择，否则可能造成识别率很低。训练样本选择的原则是，尽可能的有代表性，在训练时间不至于太长的情况下，训练样本数目尽量多。 -This directory includes: documentation and two source code. One of the source code is to identify the procedure, the other is a matrix class library, the book which is also used, so be attached. Have been saved because of the trained network weights, so the first use of identification procedures, he can run \ \ Release directory Under the executable file, then the test image directory read pictures, identification. Of course, readers are free to use the training samples to train the network, but pay special attention to training samples, otherwise it may result in knowledge Do not rate very low. Training sample selection principle is that as far as possible, representative, in the long training time Buzhi Yu s case, the training Training sample size as much as possible.
Update : 2024-05-18 Size : 71680 Publisher : 王兆云
【CSharp】 train DL : 0: 员工培训管理系统 C#2005编程的员工培训管理系统是初学者的好实例-Staff Training Management System
Update : 2024-05-18 Size : 2711552 Publisher : 小魏
【AI-NN-PR】 Matlab_ANN_Use DL : 0: This a nice Ann code which uses data from txt files and train Ann and then test ANN from data present in file and generate the results-This is a nice Ann code which uses data from txt files and train Ann and then test ANN from data present in file and generate the results
Update : 2024-05-18 Size : 54272 Publisher : adeel
【Other】 trainticketbook DL : 0: 火车票订票系统，一个简单的课程设计，适用于学生-Train ticket booking system, a simple program designed for students
Update : 2024-05-18 Size : 281600 Publisher : zhangkewei
【Software Engineering】 ARPR-v1.53 DL : 0: 网络订票从网络订票功能上分析，车票的信息应该包括列车的车次、出发地和目的地、席位的类型，票价和出发的日期时间。预订车票时用户需要输入购票的张数，旅客和联系人资料。为了方便旅客取得车票，系统生成取票号码，用户可以凭借此号码与身份证取得车票，并付款。订票功能，只受理5天后到20天之间的订票业务。对于循环发车的车次，系统不提供订票。订好车票的旅客，需要于开车两天前到取票点取票，否则系统将自动收回所订的车票。 -Internet booking reservations from the network analysis functions, ticket information should include train trips, origin and destination, seat type, fares and departure date and time. When booking tickets users need to input the number of sheets, travelers, and contact information. In order to facilitate passengers to obtain tickets, the system generates the tickets numbers, the user can get with this ticket number and ID card, and payment. Booking function, only 5 days to 20 days of receiving the booking business between. Start of the trips for the cycle, the system does not provide booking. Passengers booked tickets, need two days to collect the tickets at the point of driving tickets, otherwise the system will automatically set back the ticket.
Update : 2024-05-18 Size : 1311744 Publisher : 唐高
【Audio program】 noisetracking DL : 0: 包含M文件，培训和跟踪落实的噪音中描述的算法： [1] J.S.厄克伦斯和R. Heusdens，“非平稳噪声跟踪基于数据驱动的递归噪声功率的估计”，IEEE期刊。音频，语音卷。 16，第6页。1112年至1123年，2008年8月。见Description.doc在zip文件。-Contains m-files to train and implement the noise tracking algorithm described in: [1] J.S. Erkelens and R. Heusdens, "Tracking of nonstationary noise based on data-driven recursive noise power estimation", IEEE Trans. Audio, Speech & Lang. Proc., Vol. 16, No. 6, pp. 1112-1123, August 2008. See Description.doc in the zip-file.
Update : 2024-05-18 Size : 128000 Publisher : zaaa
【Special Effects】 fun_pcnn DL : 0: 基于PCNN的特征提取,PCNN用于特征提取时，具体平移、旋转、尺度、扭曲等不变性，这正是许多年来基于内容的图像检索系统追求的目标，同时PCNN用于特征提取时，有很好的抗噪性。而且PCNN直接来自于哺乳动物视觉皮层神经的研究，具有提取图像形状，纹理，边缘的属性。用PCNN能很好地对图像进行签名，将二维的图像的特征提取成一维矢量签名。-Feature extraction of specified object is an important preprocessing stage in machine vision systems. In this paper, we present a novel hybrid feature extraction method using PCNN (Pulse Coupled Neural Network) and shape information. First, we use PCNN firing map train to formulate object’s time signature, then we use roundness of each firing map to formulate object’s shape information vector, the final feature matrix we got is combined time signature and roundness. We take correlations as our judge criteria in our experiments. It has been proved that the algorithm is not sensitivity with the rotation, scaling and translation of the object and is a useful method for target recognition applications.
Update : 2024-05-18 Size : 1024 Publisher : wangxiaofei
【JSP/Java】 telephonelccx DL : 0: 这是一个用netbeans+WTK2.5开发的火车车票查询系统，可以放入所有可运行java程序的手机中直接运行。通俗易懂，适用于J2ME初学者-This is a development with netbeans+ WTK2.5 train ticket query system, you can put all the phones running java programs run directly. Easy to understand for J2ME beginners
Update : 2024-05-18 Size : 37888 Publisher : 乔波
【matlab】 elman DL : 0: EXAMPLE9_2_1.M 函數newelm的使用 EXAMPLE9_2_2.M 訓練Elman類神經網路 EXAMPLE9_3_1.M 函數newhop的使用 EXAMPLE9_3_2.M 創建具有兩個神經元的hopfield網路- EXAMPLE9_2_1.M : the use of fuction newelm EXAMPLE9_2_2.M : train Elman neural network EXAMPLE9_3_1.M : the use of fuction newhop EXAMPLE9_3_2.M : to create two neurons of hopfield network
Update : 2024-05-18 Size : 1024 Publisher : 李鋒
【OpenCV】 haarcascades DL : 0: opencv中haar+Adaboost已经训练好的分类器。有双目、身体等等，出自专家之手，必属精品，CV 1.0版本的有需要就下吧。-haarcascades train by expects, body, eyes.. xml files of many kinds are included which can be used directly. OpenCV 1.0 ver can download from here.
Update : 2024-05-18 Size : 1503232 Publisher : Lei ChunPo
【Other】 leichechaxun DL : 0: 列车时刻查询比较全面的一个查询程序用c++ 编写-Check train times more comprehensive process a query using c++ write
Update : 2024-05-18 Size : 19456 Publisher : alambiam
【Delphi/CppBuilder】 CBuilder.train.for DL : 0: 这个是我在新公司的服务器里找到的一些c++ builder的学习资料，希望对别人有用。-This is my server in the new company find some c++ builder of learning materials, I hope be useful to others.
Update : 2024-05-18 Size : 10031104 Publisher : 罗申
【Other】 STC DL : 1: STC波形处理方法，提取波列慢度，应用于地震资料处理与测井资料处理中-STC waveform processing method to extract wave train slow degrees, applied to seismic data processing and logging data processing
Update : 2024-05-18 Size : 4096 Publisher : 庞海波
【Applications】 ygpxxt DL : 0: 首先确认您的机器上已经安装了VC6.0以上版本，要编译生成可执行文件，需打开后缀名为dsw的文件，系统会默认用VC打开，然后选择Build菜单下的Set Active Configuration选项，选择Project Configuration为Win32 Release，然后编译项目，得到可执行文件。连接数据库请参照第2章的方法，在ODBC数据源内添加Microsoft Access数据库train.mdb，并将数据源名设定为train即可实现数据库和应用程序的正常连接，程序才能正常实现数据库的访问。另外，如果用户自己编写了.chm的帮助文档只要和可执行文件放在同一个目录下就可以了。用户要修改程序源码可以选择相应的.h和.cpp文件，本实例使用的命名规则基本是：DIALOG_***** 为管理对话框资源， *****Info为数据输入窗口资源， *****Set为结果集对应的类 -First make sure your machine has been installed VC6.0 or later, to compile an executable file, required to open the dsw file name suffix, the system will default to use VC to open, then select the Build menu of the Set Active Configuration options Select Project Configuration to Win32 Release, and then compile the project, are executable. Connect to the database please refer to Chapter 2 of the method, add the ODBC data source in Microsoft Access database train.mdb, and the data source name is set to train the database and application can achieve the normal connection, the process would be normal to achieve access to the database. In addition, if the user has prepared. Chm help documentation as long as the executable file in the same directory on it. User to modify the program can select the appropriate source. H and. Cpp file, the instance of the use of naming is basically: DIALOG_***** dialog box for the management of resources,***** Info resources for the data entry window,*****
Update : 2024-05-18 Size : 973824 Publisher : 蔡志伟
【Voice Compress】 DHMM_MODEL_MFC DL : 0: 本程序是语音库中的一段小程序，主要是DHMM_Model的训练。-That is to train DHMM_Model
Update : 2024-05-18 Size : 5120 Publisher : 李明
【JSP/Java】 chap05 DL : 0: 1、两站之间的车次查询 2、两站之间车次的反向查询 3、两站之间中转战车次查询 4、具体车次的查询 5、某车站错有车次的查询 6、添加某车次及其经过的车站-1 query trips between two stations 2, the reverse trips between two stations query 3, in between two stations fought trips query 4, 5 queries specific trips, there are trips on a station fault inquiries 6, adding a Train and through the station
Update : 2024-05-18 Size : 78848 Publisher : 樊亚娟
【Industry research】 AnAnomalyBasedApproachforIntrusion DL : 0: A new system for web attack detection is presented. It follows the anomaly-based approach, therefore known and unknown attacks can be detected. The system relies on a XML file to classify the incoming requests as normal or anomalous. The XML file, which is built from only normal traffic, contains a description of the normal behavior of the target web application statistically characterized. Any request which deviates from the normal behavior is considered an attack. The system has been applied to protect a real web application. An increasing number of training requests have been used to train the system. Experiments show that when the XML file has enough information to closely characterize the normal behavior of the target web application, a very high detection rate is reached while the false alarm rate remains very low.
Update : 2024-05-18 Size : 688128 Publisher : keerthi
【Windows Develop】 HCP DL : 0: 车票信息采用半十字链表.横向链表中的每一个结点包含以下内容:车次,起始站,发车时间,指向下一个结点的指针,指向中途站的指针.纵向链表中每一个结点包含以下内容:从始发站开始的依次到站,票价,到达时间,是否已被购买标识,才用mark标识,当mark为1时车票已售出,当mark为0时车票还未售出.以及指向下一个结点的指针.纵向链表采用循环链表,尾指针指向首指针.-Cross-linked by semi-ticket information. Horizontal list of each node contains the following: train number, starting point, departure time, point to the next node pointer midway point of the pointer. Vertical list in each node contains the following: starting from the departure station of the order of arrival, fares, arrival time, it has been identified to purchase only identified with the mark, when the mark was 1 tickets have been sold, when the mark of 0 tickets also unsold. and point to the next node pointer. longitudinal cyclic linked list tail pointer to the first pointer.
Update : 2024-05-18 Size : 5120 Publisher : Xiaoyang
【Process-Thread】 duoxianc DL : 0: C++ 实现火车站售票窗口的多线程技术-C++, train station ticket window of the multi-threading
Update : 2024-05-18 Size : 1024 Publisher : 白裕飞

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