ESS-Model is a powerful, reverse engine, UML-tool for Delphi/Kylix and Java-files.
標簽： Java-files ESS-Model UML-tool powerful
上傳時間： 2013-12-14
上傳用戶：zsjinju
多項式曲線擬合 任意介數(shù) Purpose - Least-squares curve fit of arbitrary order working in C++ Builder 2007 as a template class, using vector<FloatType> parameters. Added a method to handle some EMathError exceptions. If do NOT want to use this just call PolyFit2 directly. usage: Call PolyFit by something like this. CPolyFit<double> PolyFitObj double correlation_coefficiant = PolyFitObj.PolyFit(X, Y, A) where X and Y are vectors of doubles which must have the same size and A is a vector of doubles which must be the same size as the number of coefficients required. returns: The correlation coefficient or -1 on failure. produces: A vector (A) which holds the coefficients.
標簽： Least-squares arbitrary Purpose Builder
上傳時間： 2013-12-18
上傳用戶：宋桃子
On-Line MCMC Bayesian Model Selection This demo demonstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neurons) and model parameters as unknowns. The derivation and details are presented in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Sequential Bayesian Estimation and Model Selection Applied to Neural Networks . Technical report CUED/F-INFENG/TR 341, Cambridge University Department of Engineering, June 1999. After downloading the file, type "tar -xf version2.tar" to uncompress it. This creates the directory version2 containing the required m files. Go to this directory, load matlab5 and type "smcdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
標簽： demonstrates sequential Selection Bayesian
上傳時間： 2016-04-07
上傳用戶：lindor
The IA-32 Intel Architecture Software Developer’s Manual, Volume 1: Basic Architecture (Order Number 245470) is part of a three-volume set that describes the architecture and programming environment of all IA-32 Intel Architecture processors.
標簽： Architecture Developer Software Manual
上傳時間： 2016-04-08
上傳用戶：妄想演繹師
The IA-32 Software Developer’s Manual, Volume 3: System Programming Guide (Order Number 245472), is part of a three-volume set that describes the architecture and programming environment of all IA-32 Intel® Architecture processors. The IA-32 Software Developer’s Manual, Volume 3, describes the operating-system support environment of an IA-32 processor, including memory management, protection, task management, interrupt and exception handling, and system management mode. It also provides IA-32 processor compatibility information. This volume is aimed at operating- system and BIOS designers and programmers.
標簽： Programming Developer Software 245472
上傳時間： 2013-12-23
上傳用戶：小碼農(nóng)lz
向量空間模型分類器 A vector-space model classifiers package
標簽： vector-space classifiers package model
上傳時間： 2016-04-10
上傳用戶：wanqunsheng
world wind java sdk load 3D model
上傳時間： 2016-04-12
上傳用戶：jkhjkh1982
瑞利信道的一個模型（DENT模型）（a modification to the Jakes Model）
標簽： modification Jakes Model DENT
上傳時間： 2013-12-30
上傳用戶：ve3344
這是我在北大青鳥accp4.0 第一學期 的java 項目<員工管理系統(tǒng)>,采用db,model,view,三層關(guān)系. 連接數(shù)據(jù)庫驅(qū)動為jdbc 用eclipse完成的手寫的窗體代碼,用jbuilder2006編譯調(diào)試.
上傳時間： 2013-12-09
上傳用戶：aig85
A new PLL topology and a new simplified linear model are presented. The new fractional-N synthesizer presents no reference spurs and lowers the overall phase noise, thanks to the presence of a SampleJHold block. With a new simulation methodology it is possible to perform very accurate simulations, whose results match closely those obtained with the linear PLL model developed.
標簽： new fractional-N synthesizer simplified
上傳時間： 2016-04-14
上傳用戶：hjshhyy
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