Without this, the debugger spontaneously fails! 1 - Install mdk315b 2 - Replace the files: \Keil\ARM\BIN\ARM.DLL with one from mdk305a\Keil\ARM\BIN\ARM.DLL \Keil\ARM\BIN31\ARM.DLL with one from mdk305a\Keil\ARM\BIN30\ARM.DLL \Keil\UV3\UV3.DLL with one from mdk305a\Keil\UV3\UV3.DLL (*) 3 - Use KeyGen (Ver3p4 works) Select ARM, With computer ID code , External CID code and RealView MDK (or RealView RL) Note: Must replace DLLs before entry of serial (*) - May not be necessary (???)
标签： spontaneously the debugger Without
上传时间： 2016-04-13
上传用户：小宝爱考拉
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
This Two-Category Classifier Using Discriminant Functions to separeate two classes. The Classifier is designed on classes which has two feature vectors and other case it has one feature vector.
标签： Classifier Discriminant Two-Category Functions
上传时间： 2016-04-23
上传用户：2525775
神经网络工具箱，包含SVM和NPA、"one-against-all" 、"one-against-one" 算法，有大量的例子。
上传时间： 2016-04-23
上传用户：xhz1993
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
A technical trading system comprises a set of trading rules that can be used to generate trading signals. In general, a simple trading system has one or two parameters that determine the timing of trading signals. Each rule contained in a trading system is the results of parameterizations. (Source: The Profitability of Technical Analysis: A Review by Cheol-Ho Park and Scott H. Irwin)
标签： trading technical comprises generate
上传时间： 2013-12-25
上传用户：tianyi223
The MDP toolbox proposes functions related to the resolution of discrete-time Markov Decision Process : finite horizon, value iteration, policy iteration, linear programming algorithms with some variants. The functions (m-functions) were developped with MATLAB v6.0 (one of the functions requires the Mathworks Optimization Toolbox) by the decision team of the Biometry and Artificial Intelligence Unit of INRA Toulouse (France). The version 2.0 (February 2005) handles sparse matrices and contains an example
标签： discrete-time resolution functions Decision
上传时间： 2014-01-01
上传用户：xuanjie
The Radio Interface Layer is the name for an interface that was developed especially for the Pocket PC Phone Edition. It is meant to abstract the interface with a phone/modem device. To achieve this it is closely modelled after the GSM AT command interface. Unfortunately the API was not published officially by Microsoft. Instead more high level API s were published that should be sufficient for developers. Again, unfortunately they are not sufficient. For example the API for receiving notification of incoming SMS messages is arranged for exclusively for one application per type of SMS. Apparently this will be improved upon in Pocket PC 2003. Another area is the availablity of a true AT command modem interface to interact with the GSM modem directly, which is also absent.
标签： especially Interface for developed
上传时间： 2013-12-02
上传用户：wff
The control uses javascript to handle number formatting as you keep typing and does the validation as well. For one of our requirement, we needed a javascript based control that did formatting as the users kept typing. Google search only yielded script that did formatting on focus change events only. So I went about creating a new control myself.
标签： javascript formatting validation control
上传时间： 2016-05-15
上传用户：lingzhichao
