小波神经网络好文章！A method for fault detection is proposed using a trained neural network as the nominal model of the system to be monitored. Partial physical knowledge, if available, can be combined with the nominal model to perform fault isolation.
标签： detection proposed network nominal
上传时间： 2014-12-08
上传用户：gmh1314
We have a group of N items (represented by integers from 1 to N), and we know that there is some total order defined for these items. You may assume that no two elements will be equal (for all a, b: a<b or b<a). However, it is expensive to compare two items. Your task is to make a number of comparisons, and then output the sorted order. The cost of determining if a < b is given by the bth integer of element a of costs (space delimited), which is the same as the ath integer of element b. Naturally, you will be judged on the total cost of the comparisons you make before outputting the sorted order. If your order is incorrect, you will receive a 0. Otherwise, your score will be opt/cost, where opt is the best cost anyone has achieved and cost is the total cost of the comparisons you make (so your score for a test case will be between 0 and 1). Your score for the problem will simply be the sum of your scores for the individual test cases.
标签： represented integers group items
上传时间： 2016-01-17
上传用户：jeffery
This article describes a sniffer for Windows. WinSniff is an application for capturing packets on the network. It displays all the packets that are transmitted on the local network and gives detailed information about each header in the packet. In order to keep it simple, I am not dealing with application level protocols. If you are interested, you can add features to support various application level protocols such as SMTP, FTP, NETBIOS etc
标签： application describes capturing for
上传时间： 2016-01-22
上传用户：lijianyu172
You imagine? Right, there s more than one possibility, this time I ll give you tree. One for your private data, one for the common data in order to receive data from other applications like Excel, WinWord etc. and at last, I ll give you a handy-dandy class you can derive ANY MFC object from, to make it a drop target
标签： possibility imagine Right there
上传时间： 2013-12-21
上传用户：jichenxi0730
Hidden_Markov_model_for_automatic_speech_recognition This code implements in C++ a basic left-right hidden Markov model and corresponding Baum-Welch (ML) training algorithm. It is meant as an example of the HMM algorithms described by L.Rabiner (1) and others. Serious students are directed to the sources listed below for a theoretical description of the algorithm. KF Lee (2) offers an especially good tutorial of how to build a speech recognition system using hidden Markov models.
标签： Hidden_Markov_model_for_automatic speech_recognition implements left-right
上传时间： 2016-01-23
上传用户：569342831
线上求解法求解色谱模型，method of lines sloving chromatographic model
上传时间： 2014-01-11
上传用户：liansi
aDABOOST This package contains the following files: learner.jar - is a platform independent java package. In order to run it on windows/linux open the command prompt/shell and type the command "java -jar learner.jar". Make sure the java installation path is set in the system enviroment. learner.exe - A windows executable version of the application. Doubleclick to run. learner.pdf - The digital version of the report. SRC\ - The source code of the program is in this directory
标签： independent following aDABOOST contains
上传时间： 2014-12-05
上传用户：xsnjzljj
OpenSVM was developped under Visual C++ 6.0 SP6, You can open the workspace file(*.dsw) in the opensvm-src folder. The folder include the svm.h and svm.cpp which in the libsvm (Copyright (c) 2000-2007 Chih-Chung Chang and Chih-Jen Lin All rights reserved) in the opensvm-src\libsvm. However, the files svm.h and svm.cpp codes were copied/merged into stdafx.h and stdafx.cpp in order to support the development, and OpenSVM still use other codes of libsvm. So you can see the libsvm package in the source package. You can open and build it with Visual C++ 6.0. Note: the problems must be in LIBSVM format. OpenSVM project page: http://sourceforge.net/projects/opensvm If you had any question, please mail to: cloudbyron@gmail.com
标签： developped the workspace OpenSVM
上传时间： 2016-01-30
上传用户：asdfasdfd
排队的MMS模型， how could someone run (execute) your program and if it could be used for the M/M/1 model
上传时间： 2014-01-20
上传用户：mikesering
《SPSS 11统计分析教程》（高级篇）样章，第一章：征服一般线性模型――General Linear Model菜单详解（上）第一节：方差分析模型简介，PDF格式。
上传时间： 2016-02-04
上传用户：semi1981
