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ArcObject-GIS
Programming, geographic information systems, with c # to do programming, which is a pdf manual(Programming, geographic information systems, with c# to do programming, which is a pdf manual)
- 2014-08-31 12:55:49下载
- 积分:1
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MLRA
该算法是多层递阶预报算法,可以实现时间序列的有效预测!(The algorithm is a multi-recursive prediction algorithm can be implemented effectively predict time series!)
- 2015-01-08 20:43:11下载
- 积分:1
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scaleForSVM
用SVM进行分类时,需要对原数据进行归一化处理。(When using SVM classification, the need for raw data normalized.)
- 2015-12-09 11:25:24下载
- 积分:1
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multiplechoiceknapsack
关于多选择背包的很好的文章,提供了各种设计思路(Multiple Choice Knapsack Problem Example of planning choice in transportation )
- 2010-03-13 02:15:49下载
- 积分:1
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NNClassification
说明: 用NN算法对于急病类型进行分类实例
NN For Classification(NN algorithm used for the mistress type NN For example Classification Classification)
- 2006-03-26 15:33:42下载
- 积分:1
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bpsk
I have learn some of the codes for 4g.now I am in need to refer some codes related to my project
- 2014-09-29 22:11:40下载
- 积分:1
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CHAP7
digital communication answers chapter 7
- 2009-04-25 14:42:22下载
- 积分:1
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dbscannew
using dbscan to clustering in matlab
- 2009-05-23 16:11:17下载
- 积分:1
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Orthogonal-moments
矩函数研究专家Flusser写的书《Moments and Moment Invariants
in Pattern Recognition》中正交矩部分的matlab代码(Moments and Moment Invariants
in Pattern Recognition)
- 2012-04-14 10:57:57下载
- 积分:1
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mass_uni_toolbox
The Mass Univariate ERP Toolbox is a freely available set of MATLAB functions for performing mass univariate analyses of event-related potentials (ERPs), a noninvasive measure of neural activity popular in cognitive neuroscience. A mass univariate analysis is the analysis of a massive number of simultaneously measured dependent variables via the performance of univariate hypothesis tests (e.g., t-tests). Savvy corrections for multiple comparisons are applied to make spurious findings unlikely while still retaining a useful degree of statistical power. The advantages of mass univariate analyses include: reduced need for a priori defined time windows/regions of interest, discovery of unexpected effects even when a priori time windows/regions of interest are available, and greater spatial and temporal resolution than conventional mean time window analyses.
- 2013-05-04 23:25:24下载
- 积分:1