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LTE-SAE-Model-and-its-Implementation-in-NS-2
LTE/SAE Model and its Implementation in NS 2
- 2014-10-28 20:04:09下载
- 积分：1
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DS-CDMA-simulation
DS-CDMA仿真-matlab代码，及其代码详细说明(DS-CDMA simulation-matlab code, and code details)
- 2011-11-23 21:50:15下载
- 积分：1
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MATLABTODLL
这是MATLAB 和 LABVIEW 混合编程方面的书籍 介绍了 MATLAB 脱离 MATLAB 环境运行。(this is a good code for that matlab to dll. welcome to download )
- 2009-11-08 09:12:00下载
- 积分：1
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Perceptron_example6
分析单层感知器无法解决线性不可分输入矢量的分类问题(analysis of single-layer perceptron unable to solve the non-linear input vector classification)
- 2007-05-23 15:05:19下载
- 积分：1
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Spectral_Methods_In_Matlab
谱方法的一本教程及书中配套matlab源码(Spectral method, and a tutorial book, matching matlab source code)
- 2009-12-16 22:20:29下载
- 积分：1
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matlab-for-edge-detection
说明： 边缘检测的matlab实现。详细介绍了各种边缘检测用法(Edge detection matlab implementation. Details the use of a variety of edge detection)
- 2011-03-28 08:54:53下载
- 积分：1
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1
说明： 对彩色图像进行K均值的图像分割，可用于模式识别(K on the mean color image segmentation, can be used for pattern recognition)
- 2010-12-06 11:18:16下载
- 积分：1
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[emuch.net]K-means
简易k-means聚类算法实例，针对二维数据，自带简易数据矩阵，分析结果有输出图像。(Simple k-means clustering algorithm example, for two-dimensional data, comes with simple data matrix, analysis results output image.)
- 2014-11-06 09:25:17下载
- 积分：1
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conv
convolution basic programming
- 2011-02-04 23:36:43下载
- 积分：1
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the-wavelet-neural-network
城市交通流的运行存在着高度的复杂性、时变性和随机性,实时准确的交通流预测是智能交通系统,特别是先进的交通管理系统与先进的出行者信息系统研究的关键. 基于交通流预测的特点,给出了基于遗传算法的小波神经
网络的交通预测模型GA-WNN ,用具有自然进化规律的遗传算法来对小波神经网络的连接权值和伸缩平移尺度进行前期优化训练,部分代替了小波框架神经网络中按单一梯度方向进行参数优化的梯度下降法,克服了单一梯度下降法易陷入局部极小和引起振荡效应等缺陷. 仿真实验验证了GA-WNN 预测模型对短时交通流的预测的有效性.(For the high complexity ,time-variation and probability of urban traffic flow , its real-time and exact
prediction is critical to the research of intelligent traffic systems , especially for the advanced traffic manage-ment system and advanced traveler information system. Based on the character of the traffic flow prediction , a
GA-WNN model is given based on the wavelet neural network with genetic algorithm. The genetic algorithm of
natural evolving law for the gradient descendent algorithm in Wavelet Neural Network is partly substituted to
pre-optimize the connection weight and the extension scale of the wavelet neural network and later optimize the
parameters along a single gradient vector. This method overcomes some drawbacks when there exists a single
gradient descendent algorithm , such as local minimum and oscillation. A short-time traffic flow prediction sim-
ulation using the GA2WNN prediction model demonstrates the validity of the model .)
- 2020-11-11 20:49:44下载
- 积分：1
