k-meansy算法源代碼。This directory contains code implementing the K-means algorithm. Source code may be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANS program accepts input consisting of vectors and calculates the given number of cluster centers using the K-means algorithm. Output is directed to the screen.
標簽： code implementing directory algorithm
上傳時間： 2016-04-07
上傳用戶：shawvi
華恒科技 HHCF5249-R3 技術手冊 第一章 產品簡介 第二章 軟件系統 第三章 硬件系統 第四章 機械特性 第五章 底板的硬件設計 第六章 售后服務及技術支持 附錄 附錄A 初始化 附錄B LINUX 常見術語 附錄C 常用LINUX 命令 附錄D GCC 與GDB 附錄E MAKEFILE 附錄F UCLINUX 系統分析 uClinux 簡介 uClinux 小型化的做法 uClinux 的開發環境 uClinux 的內存管理 工具及內核 附錄G 圖形界面（GUI）接口函數API 附錄H 參考資料
上傳時間： 2013-12-24
上傳用戶：a6697238
This demo nstrates 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： sequential reversible algorithm nstrates
上傳時間： 2014-01-18
上傳用戶：康郎
This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that need to be estimated. The derivations and proof of geometric convergence are presented, in detail, in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Robust Full Bayesian Learning for Neural Networks. Technical report CUED/F-INFENG/TR 343, Cambridge University Department of Engineering, May 1999. After downloading the file, type "tar -xf rjMCMC.tar" to uncompress it. This creates the directory rjMCMC containing the required m files. Go to this directory, load matlab5 and type "rjdemo1". 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： reversible algorithm the nstrates
上傳時間： 2014-01-08
上傳用戶：cuibaigao
The algorithms are coded in a way that makes it trivial to apply them to other problems. Several generic routines for resampling are provided. The derivation and details are presented in: Rudolph van der Merwe, Arnaud Doucet, Nando de Freitas and Eric Wan. The Unscented Particle Filter. Technical report CUED/F-INFENG/TR 380, Cambridge University Department of Engineering, May 2000. After downloading the file, type "tar -xf upf_demos.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this directory, load matlab5 and type "demo_MC" for the demo.
標簽： algorithms problems Several trivial
上傳時間： 2014-01-20
上傳用戶：royzhangsz
3.0V至5.5V、低功耗、1Mbps、真RS-232收發器，使用四只0.1µ F外部電容.
上傳時間： 2016-04-17
上傳用戶：壞壞的華仔
void III_hufman_decode(struct Granule *gr,int part2_start, int freqline[SBLIMIT][SSLIMIT]) { unsigned int reg1, reg2,i unsigned int part3_length = part2_start + gr->part2_3_length unsigned used int h,*f=&freqline[0][0] if(gr->window_switching_flag && gr->block_type == 2) { /* short block regions */ reg1 = 36 reg2 = 576 } else { /* long block regions */ reg1 = sfBandIndex[fr_ps.header->sampling_frequency].l[gr->region0_count + 1] reg2 = sfBandIndex[fr_ps.header->sampling_frequency].l[gr->region0_count + gr->region1_count + 2] }
標簽： III_hufman_decode int freqline Granule
上傳時間： 2013-12-19
上傳用戶：jjj0202
KmdTut是一份以Win32匯編語言來開發Kernel mode驅動程序的教程，讀者可以從http://www.freewebs.com/four-f/下載最新的英文版本，為了使用本教程，你還需要下載Kernel mode驅動程序開發包KmdKit，更多信息請參考http://www.wasm.ru/（很不幸，是俄文的，倒ing～～～） 0.2 關于KmdKit KmdKit的全稱是Kernel Mode Driver development Kit for assembly language programmers，即內核模式驅動程序匯編開發包，KmdKit中包括了用宏匯編編譯器開發驅動程序需要用到的所有東西。 你可以從http://www.wasm.ru/或者http://www.freewebs.com/four-f/下載到最新版本的KmdKit。
上傳時間： 2014-01-11
上傳用戶：Ants
This little Program allows you to send commands to the CardReader (CT-BCS) or to the Card itself. First you will be ask to what Port the Reader is connected (0=COM1, 1=COM2). Then the Class-Byte (CLA), Instruction-Byte (INS), Parameter 1 (P1), Parameter 2 (P2). If wou don愒 want to send Parameter 3 (P3) press Ctrl-d (^d). If you enter a number then you have to the Bytes of the Datafield. After the last Byte of the Datafield is entered the whole APDU is send the replay is displayed. After that you can send the next APDU.
標簽： CardReader the commands to
上傳時間： 2016-04-23
上傳用戶：nanxia
matlab遺傳算法工具箱函數及實例講解2 【問題】在－5<=Xi<=5,i=1,2區間內，求解 f(x1,x2)=-20*exp(-0.2*sqrt(0.5*(x1.^2+x2.^2)))-exp(0.5*(cos(2*pi*x1)+cos(2*pi*x2)))+22.71282的最小值。
上傳時間： 2013-12-31
上傳用戶：gtzj
