登录
首页 » matlab » Fuzzy decision

Fuzzy decision

于 2020-12-14 发布
0 102
下载积分: 1 下载次数: 1

代码说明:

说明:  使用模糊决策帮助搜索Pareto中的决策解(Using fuzzy decision to help search decision solution in Pareto)

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • aboutKSVD
    这是关于KSVD的两篇英文文章,我觉得对学习KSVD算法很有用(It s about ksvd the two articles in english, i think learning ksvd algorithm is very useful )
    2010-06-03 19:45:02下载
    积分:1
  • hough
    hough变换识别直线,识别圆,提取圆心半径(hough transform line identification, identification circle, the radius of the center extraction)
    2011-01-07 21:23:40下载
    积分:1
  • aaq1
    经典music算法对一维水声信号进行处理的matlab程序,多注解菜鸟版。(Classical music algorithm for one-dimensional underwater acoustic signal processing matlab program, to comment rookie version.)
    2012-05-24 15:46:21下载
    积分:1
  • Bayesian_Belief_Networks
    对于给定的贝叶斯网络和数据,寻找最可能的决策。 (Find the most likely decision given a Bayesian belief network and data )
    2013-11-06 19:30:03下载
    积分:1
  • EMDs
    经验模态分解(Empirical Mode Decomposition,EMD)法是美国国家宇航局美籍华人黄锷(N. E. Huang)等人于1998年创造性地提出的一种新型自适应信号时频处理方法,特别适用于非线性非平稳信号的分析处理。(Empirical Mode Decomposition (Empirical Mode Decomposition, EMD) method is a new kind of video processing method adaptive signal NASA Chinese-American yellow E (NE Huang), who in 1998 proposed a creative way, especially for non- Linear analysis and processing non-stationary signals.)
    2015-03-27 00:52:13下载
    积分:1
  • ZF
    说明:  空时编码的基于Matlab的应用迫零算法的译码仿真(Space-time coding applications based on Matlab zero forcing decoding algorithm simulation)
    2011-05-12 15:53:22下载
    积分:1
  • QPSK_ZYY
    考虑了瑞利衰落信道下的情况,设置了5,10,20条多径,有完美的仿真结果(consideration of Rayleigh fading channels under the conditions, the number of trails 5, 10, 20, a perfect simulation results)
    2006-11-06 08:31:54下载
    积分:1
  • SignCorrectionInSVDandPCA
    虽然奇异值分解(SVD)和特征值分解(EVD的)是行之有效的,可以通过先进的设施设备先进的算法,它不是通常所说,有一个内在的迹象,可以显着影响的不确定性的结论计算及诠释来自其结果。我们提供一个解决方案,标志模糊的问题确定了从奇异向量的内积和个人数据载体签署奇异向量的迹象。该数据可能有不同的载体,但它有它自身的定位和实际意义的选择方向,其中多数的向量点。这可以通过评估发现了内心的签署标志产品的总和。(Although the Singular Value Decomposition (SVD) and eigenvalue decomposition (EVD) are well-established and can be computed via state-of-the-art algorithms, it is not commonly mentioned that there is an intrinsic sign indeterminacy that can significantly impact the conclusions and interpretations drawn from their results. We provide a solution to the sign ambiguity problem by determining the sign of the singular vector from the sign of the inner product of the singular vector and the individual data vectors. The data vectors may have different orientation but it makes intuitive as well as practical sense to choose the direction in which the majority of the vectors point. This can be found by assessing the sign of the sum of the signed inner products. )
    2010-07-01 09:49:23下载
    积分:1
  • 35246565Adaboost_LPR_Matlab_080910
    adaboost工具箱,可以运行,初学者过来看看。(adaboost toolbox, you can run, beginners come to see.)
    2013-10-16 10:30:03下载
    积分:1
  • matrix
    Program in MPI for matrix multiplication
    2011-01-21 23:07:13下载
    积分:1
  • 696518资源总数
  • 104434会员总数
  • 22今日下载