This book explains how to write, install, and debug device drivers for Windows 2000. It is intended to be a companion to the Microsoft DDK documentation and software. Windows 2000 represents a major improvement to previous versions of Windows NT. Device drivers for Windows 2000 may be designed for the new Windows Driver MODEL (WDM) architecture. If so, the driver will be source compatible with Windows 98. This book covers the new WDM specification. This book will also prove useful to those studying the internals of Windows 2000, particularly the I/O subsystem and related components.
标签： explains intended Windows drivers
上传时间： 2016-04-08
上传用户：dreamboy36
Programs in the irregular grid design package described in this manual are used to carry out five main functions: verification and adjustment of coastline and bathymetric data preparation of an irregular triangular depth grid covering the domain to be MODELled production of a preliminary irregular triangular MODEL grid with nodes suitably positioned for accurate and efficient numerical MODELling interactive checking and editing, including trimming and joining, of MODEL grid display and plotting of MODEL output.
标签： described irregular Programs package
上传时间： 2016-04-09
上传用户：fnhhs
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.
标签： sequential reversible algorithm nstrates
上传时间： 2014-01-18
上传用户：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.
标签： reversible algorithm the nstrates
上传时间： 2014-01-08
上传用户：cuibaigao
usb bulk 传输例程。 * The bulkusb driver is a generic function driver, based on the Windows Driver MODEL (WDM). * Supports Plug and Play(PnP), Power Management(PM), Windows Management Instrumentation (WMI) and the Selective Suspend (SS) features. * This sample is based off the selSusp DDK sample. Please refer the selSusp sample and the DDK docs to understand the handling of PnP, PM, WMI and SS features and implementations. * The USB device used for this sample is a generic Intel I82930 USB evaluation board programmed with a simple loopback test using a 64 KB circular buffer. None of the code in the sample is specific to this controller chip.
标签： driver function Windows bulkusb
上传时间： 2016-04-25
上传用户：270189020
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
标签： matrix observations Kalman-Bucy prediction
上传时间： 2016-04-28
上传用户：huannan88
Probability distribution functions. estimation - (dir) Probability distribution estimation. dsamp - Generates samples from discrete distribution. erfc2 - Normal cumulative distribution function. gmmsamp - Generates sample from Gaussian mixture MODEL. gsamp - Generates sample from Gaussian distribution. cmeans - C-means (or K-means) clustering algorithm. mahalan - Computes Mahalanobis distance. pdfgauss - Computes probability for Gaussian distribution. pdfgmm - Computes probability for Gaussian mixture MODEL. sigmoid - Evaluates sigmoid function.
标签： distribution Probability estimation functions
上传时间： 2016-04-28
上传用户：13188549192
The neuro-fuzzy software for identification and data analysis has been implemented in the MATLAB language ver. 4.2. The software trains a fuzzy architecture, inspired to Takagi-Sugeno approach, on the basis of a training set of N (single) output-(multi) input samples. The returned MODEL has the form 1) if input1 is A11 and input 2 is A12 then output =f1(input1,input2) 2) if input1 is A21 and input 2 is A22 then output =f2(input1,input2) 看不懂，据高手说，非常有用。
标签： identification neuro-fuzzy implemented analysis
上传时间： 2014-01-12
上传用户：zgu489
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.
标签： that questions scritps usefull
上传时间： 2013-12-28
上传用户：netwolf
Abstract：This article elaborats the RFID system，multianalysised the concrete function of RFID middleware，and proposed a kind of RFID data transmission design MODEL with news transmission mechanism，for realizing data transmission more effectively， RFID data transmission design MODEL with news transmission mechanism，for realizing data transmission more effectively，
标签： elaborats Abstract article system
上传时间： 2014-01-02
上传用户：yd19890720
