Wrox Press Expert One-on-One J2EE Development without EJB.rar
標(biāo)簽: Development One-on-One without Expert
上傳時(shí)間: 2016-01-01
上傳用戶:lps11188
Rolling with Ruby on Rails by Curt Hibbs 01/20/2005
標(biāo)簽: Rolling Rails Hibbs Curt
上傳時(shí)間: 2013-12-19
上傳用戶:hullow
Matlab toolbox neural network function neural network 06b AIDS on neural network toolbox
標(biāo)簽: network neural toolbox function
上傳時(shí)間: 2014-01-04
上傳用戶:zm7516678
Matlab toolbox neural network function neural network 06b AIDS on neural network toolbox
標(biāo)簽: network neural toolbox function
上傳時(shí)間: 2016-01-02
上傳用戶:愛死愛死
This zip file describes how to generate a clock on the PCK pin using the PMC running under AT91RM3400DK with Green hills 3.6.1 Multi® 2000 Software Tool. Includes main.html file for help.
標(biāo)簽: describes the generate running
上傳時(shí)間: 2013-12-11
上傳用戶:hgy9473
AtomicParsley is a lightweight command line program that can read and set iTunes-style metadata tags in MPEG-4 files & 3gp assets in 3GPP/3GPP2 files.
標(biāo)簽: AtomicParsley iTunes-style lightweight metadata
上傳時(shí)間: 2016-01-05
上傳用戶:comua
% PURPOSE : Demonstrate the differences between the following % filters on a simple DBN. % % 3) Particle Filter (PF) % 4) PF with Rao Blackwellisation (RBPF)
標(biāo)簽: Demonstrate differences the following
上傳時(shí)間: 2016-01-07
上傳用戶:cjf0304
% PURPOSE : Demonstrate the differences between the following filters on the same problem: % % 1) Extended Kalman Filter (EKF) % 2) Unscented Kalman Filter (UKF) % 3) Particle Filter (PF) % 4) PF with EKF proposal (PFEKF) % 5) PF with UKF proposal (PFUKF)
標(biāo)簽: the Demonstrate differences following
上傳時(shí)間: 2016-01-07
上傳用戶:yiwen213
today bought a book, reflected good to upload source code package. 1. Based on the struts of customer information management system 2. Struts-based personnel management system 3. Office log system 4. E-government management system 5. Food industry Invoicing System 6 SMS Data Acquisition System
標(biāo)簽: reflected custome package bought
上傳時(shí)間: 2014-07-09
上傳用戶:baitouyu
Support Vector Machine is small sample method based on statistic learning theory. It is a new method to deal with the highly nonlinear classification and regression problems .It can better deal with the small sample, nonlinear and
標(biāo)簽: method statistic learning Support
上傳時(shí)間: 2014-12-02
上傳用戶:zukfu
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