Delphi MsgCommunicator 2-10 component.I ve used, really good job. can be Server-Client message application developped.
標(biāo)簽： MsgCommunicator Server-Client component message
上傳時(shí)間： 2016-02-18
上傳用戶：zhuimenghuadie
Ve一個(gè)簡(jiǎn)單的數(shù)字電子密碼鎖，密碼為4 位。 功能 密碼輸入：每按下一個(gè)鍵，要求在數(shù)碼管上顯示，并依次左移； 密碼清除：清除密碼輸入，并將輸入置為”0000”；密碼修改：將當(dāng)前輸入設(shè)為新的密碼；上鎖和開鎖.
上傳時(shí)間： 2013-12-14
上傳用戶：hustfanenze
the attached utility is a work I ve submitted to the university It shows what a jpeg compression is all about. the function implements the DCT transform, using a matrix operator. note that matlab has a function for the DCT and iDCT transforms that might be more efficient.
標(biāo)簽： compression university the submitted
上傳時(shí)間： 2014-01-15
上傳用戶：Altman
In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial College). The data and simulations are described in: Nando de Freitas, Mahesan Niranjan and Andrew Gee Nonlinear State Space Estimation with Neural Networks and the EM algorithm After downloading the file, type "tar -xf EMdemo.tar" to uncompress it. This creates the directory EMdemo containing the required m files. Go to this directory, load matlab5 and type "EMtremor". The figures will then show you the simulation results, including ROC curves, likelihood plots, decision boundaries with error bars, etc. WARNING: Do make sure that you monitor the log-likelihood and check that it is increasing. Due to numerical errors, it might show glitches for some data sets.
標(biāo)簽： Rauch-Tung-Striebel algorithm smoother which
上傳時(shí)間： 2016-04-15
上傳用戶：zhenyushaw
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.
標(biāo)簽： that questions scritps usefull
上傳時(shí)間： 2013-12-28
上傳用戶：netwolf
I ve written some many years ago dynamic Huffman algorithm to compress and decompress data. It is mainly targeted to data with some symbols occuring more often than the rest (e.g. having some data file consisted of 3 different symbols and their total number of occurence in that file s1(1000), s2(200), s3(30) so the total length of file is 1000+200+30=1230 bytes, it will be encoded assigning one bit to s1 and 2 bits to s2, s3 so the encoded length will be 1*1000+2*(200+30)=1460 bits=182 bytes). In the best case the file consisted of just one symbol will be encoded with compression ratio as 1:8. Huffman coding is used in image compression, however in JPEG2000 arithmetic codec is imployed.
標(biāo)簽： decompress algorithm compress Huffman
上傳時(shí)間： 2016-05-16
上傳用戶：aysyzxzm
利用ECLIPSE＋VE實(shí)現(xiàn)介面，同時(shí)實(shí)現(xiàn)文件管理。
標(biāo)簽： ECLIPSE
上傳時(shí)間： 2013-12-23
上傳用戶：梧桐
Where We ve Been Where We re Going Back in February (that s 1998, but it almost seems longer), Dr. GUI set off to start a set of columns on the Active Template Library (ATL).
標(biāo)簽： Where February almost longer
上傳時(shí)間： 2016-08-29
上傳用戶：JIUSHICHEN
本人修改過的elm的matlab算法，該算法比原來的elm的算法在超過3個(gè)神經(jīng)元后的計(jì)算速度能明顯加快！原理是運(yùn)用函數(shù)產(chǎn)生列矩陣！！ ELM 是一種快速的神經(jīng)網(wǎng)絡(luò)算法，本人已經(jīng)比較過，比很多流行的算法（BP,SVM）都快,而且效果很好，運(yùn)行環(huán)境是matlab，可以測(cè)試所有的benchmark的數(shù)據(jù)
上傳時(shí)間： 2016-09-18
上傳用戶：xuan‘nian
神經(jīng)網(wǎng)絡(luò)的ELM算法，比傳統(tǒng)的BP和SVM都快，而且效果也很精確。運(yùn)行平臺(tái)是matlab，本人已經(jīng)對(duì)原始ELM做了修改，可以適應(yīng)多種函數(shù)，而且在數(shù)據(jù)處理方面自動(dòng)產(chǎn)生分類矩陣。
標(biāo)簽： ELM 神經(jīng)網(wǎng)絡(luò) 算法
上傳時(shí)間： 2014-01-06
上傳用戶：edisonfather
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