一個使用免疫算法實現(xiàn)物流調(diào)度的源代碼，使用SQL Server 2005+Visual Studio C# 2005開發(fā)，可以在地圖上描出優(yōu)化路徑。壓縮包中的wldd.bak和wldd1.bak為數(shù)據(jù)庫文件，將其恢復(fù)到SQL Server 2005中即可。需要注意的是，默認(rèn)的連接字符串為 connectionString="Data Source=YANXL\SQLEXPRESS initial Catalog=wldd1 User ID=sa Password=dream" 初始密碼可以改掉
上傳時間： 2014-01-26
上傳用戶：1079836864
This paper presents several low-latency mixed-timing FIFO (first-in–first-out) interfaces designs that interface systems on a chip working at different speeds. The connected systems can be either synchronous or asynchronous. The designs are then adapted to work between systems with very long interconnect delays, by migrating a single-clock solution by Carloni et al. (1999, 2000, and 2001) (for “l(fā)atency-insensitive” protocols) to mixed-timing domains. The new designs can be made arbitrarily robust with regard to metastability and interface operating speeds. initial simulations for both latency and throughput are promising.
標(biāo)簽： mixed-timing low-latency interfaces first-out
上傳時間： 2015-10-08
上傳用戶：dapangxie
B/S版ERP安裝方法 1、安裝IIS5.0、Microsoft .NET Framework 1.1及SQL Server2000 2、將目錄Copy_of_ERP和webctrl_client復(fù)制到C:/Inetpub/wwwroot下，并將Copy_of_ERP目錄設(shè)置成IIS虛擬目錄 3、在SQL Server2000中新建一個Storage用戶和LXTXERP數(shù)據(jù)庫，然后將Data目錄中的LXTXERP.BAK數(shù)據(jù)庫備份文件還原 4、修改Copy_of_ERP目錄下的Web.config文件的連接屬性sa用戶的密碼： <add key="mydns" value="data source=(local) initial catalog=LXTXERP persist security info=False user id=sa pwd=123 workstation id=jl packet size=4096" /> 5、在Windows管理工具中打開Internet 服務(wù)管理器，運行Copy_of_ERP中的Login.aspx打開ERP登錄頁面，默認(rèn)用戶：admin 密碼：123 6、OK
標(biāo)簽： webctrl_clie Copy_of_ERP Framework Microsoft
上傳時間： 2015-12-09
上傳用戶：zhuimenghuadie
#if !defined(AFX_GAQUEEN_H__C26AE0A3_F9B4_426F_A324_B460CC7946CB__INCLUDED_) #define AFX_GAQUEEN_H__C26AE0A3_F9B4_426F_A324_B460CC7946CB__INCLUDED_ #if _MSC_VER > 1000 #pragma once #endif // _MSC_VER > 1000 class CGAQueen { public: CGAQueen(int nPopulation,int nIteration,float Mutation,int mChBoard) virtual ~CGAQueen() void Clear() // to clear chess board with 0 value void initialPopulation() // to create the first and initial randompopulation void FillArea(int index) // to fill chess board with desired chromosome int CostFunc(int index) // determine the cost of matrix[index][index] void PopulationSort() // to sort population from the best to the worst void GenerateCrossOverMatrix() // a way to create children from parent is CcrossOver void Mating() // to create children from parents void Ap
標(biāo)簽： AFX_GAQUEEN_H INCLUDED defined define
上傳時間： 2015-12-27
上傳用戶：wuyuying
商品銷售管理系統(tǒng) 1.首先確保您的機(jī)器上安裝了SQL Server數(shù)據(jù)庫。將SQL Server服務(wù)器名稱改為JAMESLIN，如果不修改服務(wù)器名稱，則需要修改VB程序，在frmLogin窗體的cmdOK_Click函數(shù)中，修改代碼： strConn = "Provider=SQLOLEDB.1 Integrated Security=SSPI Persist Security Info=False initial Catalog=Sale Data Source=JAMESLIN UID=Admin PWD=111" 即Source=JAMESLIN中的“JAMESLIN”改為您本機(jī)服務(wù)器名。 2.在SQL Server“企業(yè)管理器”中“安全性|登錄”中，創(chuàng)建用戶：Admin，其密碼為111。 3.打開SQL Server“企業(yè)管理器”的“工具|還原數(shù)據(jù)庫”菜單命令，在對話框在設(shè)置還原的數(shù)據(jù)庫名為Sale，選擇從“設(shè)備”還原，根據(jù)向?qū)е鸩竭x擇本章目錄的“數(shù)據(jù)庫”子目錄下的文件Sale Backup，從而建立數(shù)據(jù)庫。 這樣，就可以運行本章程序了。
標(biāo)簽： Server SQL JAMESLIN 商
上傳時間： 2015-12-30
上傳用戶：nairui21
How the K-mean Cluster work Step 1. Begin with a decision the value of k = number of clusters Step 2. Put any initial partition that classifies the data into k clusters. You may assign the training samples randomly, or systematically as the following: Take the first k training sample as single-element clusters Assign each of the remaining (N-k) training sample to the cluster with the nearest centroid. After each assignment, recomputed the centroid of the gaining cluster. Step 3 . Take each sample in sequence and compute its distance from the centroid of each of the clusters. If a sample is not currently in the cluster with the closest centroid, switch this sample to that cluster and update the centroid of the cluster gaining the new sample and the cluster losing the sample. Step 4 . Repeat step 3 until convergence is achieved, that is until a pass through the training sample causes no new assignments.
標(biāo)簽： the decision clusters Cluster
上傳時間： 2013-12-21
上傳用戶：gxmm
更新內(nèi)容： 1 增加了搜索功能 2 提供了幫助頁面 修改若干小問題 管理名稱 admin 初始密碼：admin-update : added a search function to help provide two pages of small amendments to a number of issues management initial name admin Password : admin
標(biāo)簽： admin-update function search admin
上傳時間： 2014-01-06
上傳用戶：cmc_68289287
ET++ is a portable and homogenous object-oriented class library integrating user interface building blocks, basic data structures, and high level application framework components. ET++ eases the building of highly interactive applications with consistent user interfaces following the direct manipulation principle. The ET++ class library is implemented in C++ and can be used on several operating systems and window system platforms. Since its initial conception the class library has been continuously redesigned and improved. It started with an architecture which was close to MacApp. During several iterations a new and unique architecture evolved. A byproduct of the ET++ project is a set of tools, which were designed to support the exploration of ET++ applications at run-time. 設(shè)計模式一書引用的主要參考例程，一個跨平臺的應(yīng)用框架，基于C++實現(xiàn)，是學(xué)習(xí)面向?qū)ο蟮慕?jīng)典源碼.
標(biāo)簽： object-oriented integrating homogenous interface
上傳時間： 2016-04-15
上傳用戶：tedo811
runs Kalman-Bucy filter over observations matrix Z for 1-step prediction onto matrix X (X can = Z) with model order p V = initial covariance of observation sequence noise returns model parameter estimation sequence A, sequence of predicted outcomes y_pred and error matrix Ey (reshaped) for y and Ea for a along with inovation prob P = P(y_t | D_t-1) = evidence
標(biāo)簽： matrix observations Kalman-Bucy prediction
上傳時間： 2016-04-28
上傳用戶：huannan88
This folder has some scritps that you may find usefull. All of it comes from questions that I ve received in my email. If you have a new request/question, feel free to send it to marceloperlin@gmail.com. But please, don t ask me to do your homework. Passing_your_param0 This folder contains instructions (and m files) for passing you own initial parameters to the fitting function. I also included a simple simulation script that will create random initial coefficients (under the proper bounds) and fit the model to the data.
標(biāo)簽： that questions scritps usefull
上傳時間： 2013-12-28
上傳用戶：netwolf
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