A Micro-Genetic algorIthm for Multiobjective Optimization developed by Gregorio Toscano Pulido .
标签： Multiobjective Micro-Genetic Optimization algorIthm
上传时间： 2016-08-08
上传用户：lnnn30
消除文法左递规算法的实现left eliminate grammar rules delivery algorIthm implementation
标签： implementation eliminate algorIthm delivery
上传时间： 2013-12-01
上传用户：wkchong
gps“可用性”matlab代码 Matlab algorIthm Availability Simulation Tool
标签： Availability Simulation algorIthm Matlab
上传时间： 2013-12-13
上传用户：日光微澜
simulation model using Genetic algorIthm
标签： simulation algorIthm Genetic model
上传时间： 2014-01-06
上传用户：gtf1207
aprori algorIthm, easy to understand and modify
标签： understand algorIthm aprori modify
上传时间： 2014-01-21
上传用户：cjl42111
Finite sample effects of the fast ICA algorIthm
标签： algorIthm effects Finite sample
上传时间： 2016-09-03
上传用户：lxm
c algorIthm for DSP real time processing
标签： processing algorIthm real time
上传时间： 2014-01-01
上传用户：csgcd001
用vc实现Apriori算法的全部功能．请大家尽情心使用！-the algorIthm can be used vc Apriori algorIthm to achieve the full. Please rest assured use!
标签： algorIthm Apriori the achieve
上传时间： 2013-12-20
上传用户：ynzfm
this directory contains the following: * The acdc algorIthm for finding the approximate general (non-orthogonal) joint diagonalizer (in the direct Least Squares sense) of a set of Hermitian matrices. [acdc.m] * The acdc algorIthm for finding the same for a set of Symmetric matrices. [acdc_sym.m](note that for real-valued matrices the Hermitian and Symmetric cases are similar however, in such cases the Hermitian version [acdc.m], rather than the Symmetric version[acdc_sym] is preferable. * A function that finds an initial guess for acdc by applying hard-whitening followed by Cardoso s orthogonal joint diagonalizer. Note that acdc may also be called without an initial guess, in which case the initial guess is set by default to the identity matrix. The m-file includes the joint_diag function (by Cardoso) for performing the orthogonal part. [init4acdc.m]
标签： approximate directory algorIthm the
上传时间： 2014-01-17
上传用户：hanli8870
The kernel-ica package is a Matlab program that implements the Kernel ICA algorIthm for independent component analysis (ICA). The Kernel ICA algorIthm is based on the minimization of a contrast function based on kernel ideas. A contrast function measures the statistical dependence between components, thus when applied to estimated components and minimized over possible demixing matrices, components that are as independent as possible are found.
标签： independent kernel-ica implements algorIthm
上传时间： 2014-01-17
上传用户：yiwen213
