·IEEE Std 1364-2001 Standard Verilog hardware Description language
標(biāo)簽： nbsp Description Standard hardware
上傳時(shí)間： 2013-06-20
上傳用戶：蟲蟲蟲蟲蟲蟲
* Description: DDS design BY PLD DEVICES.\r\n *\r\n * AUTHOR: Sun Yu\r\n *\r\n * HISTORY: 12/06/2002 \r\n *
標(biāo)簽： Description DEVICES design DDS
上傳時(shí)間： 2013-09-09
上傳用戶：jokey075
Filename: main.c * Description: A simple test program for the CRC implementations. * Notes: To test a different CRC standard, modify crc.h. * * * Copyright (c) 2000 by Michael Barr. This software is placed into * the public domain and may be used for any purpose. However, this * notice must not be changed or removed and no warranty is either * expressed or implied by its publication or distribution.
標(biāo)簽： test implementations Description Filename
上傳時(shí)間： 2015-02-02
上傳用戶：leehom61
I. A brief Description of the aiNet application. II. How to set up the aiNet on your system. III. Some tips on using the aiNet IV. Example files
標(biāo)簽： aiNet I. application Description
上傳時(shí)間： 2013-12-22
上傳用戶：libenshu01
基于java的完整的RSA算法實(shí)現(xiàn) /** * <p>Titre : RSA </p> * <p>Description : Encodage de donn閑s selon le protocole RSA </p> * <p>Copyright : Copyright (c) 2004</p> * @author Fran鏾is Bradette * @version 1.1 * version originale de Robert Sedgewick and Kevin Wayne.Copyright ? 2004 * pris sur le site http://www.cs.princeton.edu/introcs/104crypto/RSA.java.html * Modifier par Fran鏾is Bradette */
標(biāo)簽： Description RSA Encodage gt
上傳時(shí)間： 2014-01-10
上傳用戶：時(shí)代電子小智
Description: FASBIR(Filtered Attribute Subspace based Bagging with Injected Randomness) is a variant of Bagging algorithm, whose purpose is to improve accuracy of local learners, such as kNN, through multi-model perturbing ensemble. Reference: Z.-H. Zhou and Y. Yu. Ensembling local learners through multimodal perturbation. IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics, 2005, vol.35, no.4, pp.725-735.
標(biāo)簽： Description Randomness Attribute Filtered
上傳時(shí)間： 2015-04-10
上傳用戶：ynzfm
Description: S-ISOMAP is a manifold learning algorithm, which is a supervised variant of ISOMAP. Reference: X. Geng, D.-C. Zhan, and Z.-H. Zhou. Supervised nonlinear dimensionality reduction for visualization and classification. IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics, 2005, vol.35, no.6, pp.1098-1107.
標(biāo)簽： Description supervised algorithm S-ISOMAP
上傳時(shí)間： 2015-04-10
上傳用戶：wfeel
Description: C4.5Rule-PANE is a rule learning method which could generate accurate and comprehensible symbolic rules, through regarding a neural network ensemble as a pre-process of a rule inducer. Reference: Z.-H. Zhou and Y. Jiang. Medical diagnosis with C4.5 rule preceded by artificial neural network ensemble. IEEE Transactions on Information Technology in Biomedicine, 2003, vol.7, no.1, pp.37-42. 使用神經(jīng)網(wǎng)絡(luò)集成方法診斷糖尿病,肝炎,乳腺癌癥的案例研究.
標(biāo)簽： comprehensibl Description Rule-PANE accurate
上傳時(shí)間： 2013-11-30
上傳用戶：wcl168881111111
并發(fā)程序設(shè)計(jì).This is a book to full Description the parellel computing.
標(biāo)簽： Description computing parellel This
上傳時(shí)間： 2014-01-10
上傳用戶：爺?shù)臍赓|(zhì)
Models UWB TX and RX using BPSK fifth derivative. MATLAB Release: R13 Description: This m file models a UWB system using BPSK with the fifth order derivative of the gaussian pulse with correlation receiver and intgrator.
標(biāo)簽： Description derivative Release Models
上傳時(shí)間： 2015-05-08
上傳用戶：zhliu007
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