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Fuzzy-neural1
首先要对样本进行聚类分析,以此来确定模糊规则个数。利用K-means法对样本聚类。(First cluster analysis of samples, in order to determine the number of fuzzy rules. Method using K-means clustering of the sample.)
- 2011-06-30 08:26:43下载
- 积分:1
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MATLAB7_brief_course
MATLAB7简明教程电子教案,其中包含了各种实例源文件代码程序(Concise Guide MATLAB7 electronic lesson plans, examples of which include a variety of program source code files)
- 2011-11-08 10:42:47下载
- 积分:1
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BLIINDS
B L I N D S can evaluate any distorted image quality without any referring of the original image.
- 2010-07-14 16:38:38下载
- 积分:1
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Design2-DfilterusingWSE
说明: 自己编写的用WSE的方法设计的二维数字滤波器,效果不错。(themselves with WSE prepared by the method of two-dimensional design of digital filters, effectiveness.)
- 2006-04-07 14:00:59下载
- 积分:1
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Tribes
Particle swarm optimization (PSO) is a novel metaheuristic inspired by the flocking behavior of birds. The applications of PSO
to scheduling problems are extremely few.
- 2021-05-15 23:30:03下载
- 积分:1
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Volterra RLS
adaptive volterra RLS filter
- 2016-08-20 16:16:41下载
- 积分:1
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sunmou_v33
非归零型差分相位调制信号建模与仿真分析 ,合成孔径雷达(SAR)目标成像仿真,MIMO OFDM matlab仿真。( NRZ type differential phase modulation signal modeling and simulation analysis, Synthetic Aperture Radar (SAR) imaging simulation target, MIMO OFDM matlab simulation.)
- 2016-09-01 15:56:29下载
- 积分:1
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20200318
说明: 基于神经网络算法的图片识别,卷积神经网络(Image recognition based on neural network algorithm)
- 2021-01-04 18:08:55下载
- 积分:1
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pso-lsssvm
说明: 用粒子群算法选择支持向量机的参数(来自于互联网,在此感谢原创)(With the particle swarm algorithm to select the parameters of support vector machines (from the Internet, would like to thank the original))
- 2011-03-15 15:52:04下载
- 积分:1
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speechprocess
利用MATLAB对语音信号进行数字信号处理和分析,以及合成,在MATLAB软件平台对所采集的语音信号,加快和变慢语速,同时进行一些特殊处理,如回音和变声,并进行语音的线性预测分析。(MATLAB voice signal to digital signal processing and analysis, and synthesis, in the MATLAB software platform for the acquisition of the speech signal, speed up and slow speech rate, while some special handling, such as echo and change the sound and voice linearpredictive analysis)
- 2012-04-20 22:46:47下载
- 积分:1