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DispFusion
DispFusion--Display the fusion of two images (DispFusion Display the fusion of two images)
- 2007-08-17 22:32:15下载
- 积分：1
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Analysis
数字图像处理中的数据分析，包括回归分析和概率统计(Digital image processing, data analysis, including regression analysis and probability and statistics)
- 2009-03-26 11:22:12下载
- 积分：1
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matlab
数值分析+matlab经典算法的源程序数学类、资料共享(Classical numerical algorithm+ matlab source mathematics classes, information sharing)
- 2010-12-07 19:54:41下载
- 积分：1
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halmiton
说明： 通过输入一个有权图，求出它的最短的一条哈密顿回路。(By entering a right map, obtained with a shortest Hamiltonian circuit.)
- 2010-04-15 11:06:20下载
- 积分：1
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imageProc[mathworks.ir]
teaching image processing with matlab program
- 2013-11-12 04:02:51下载
- 积分：1
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RCS
雷达散射截面的simulink模块，考虑了sweling模型，验证过(Radar cross section of the Simulink module, considering the sweling model, validated)
- 2012-02-29 21:37:55下载
- 积分：1
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3D UAV Path planning
说明： 基于NSGA2算法的无人机航迹规划算法，可运行(The UAV trajectory planning algorithm based on NSGA2 algorithm can be operated.)
- 2020-07-19 16:58:48下载
- 积分：1
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runDemo
RUNDEMO Illustrates the use of BFILTER2 and CARTOON.
This demo shows typical usage for the bilateral
filter implemented by BFILTER2. The application
of bilateral filtering to image abstraction is
demonstrated by the CARTOON function.
Douglas R. Lanman, Brown University, September 2006.
dlanman@brown.edu, http://mesh.brown.edu/dlanman
- 2014-01-28 16:48:17下载
- 积分：1
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Mfile
PHS多天线基带调制与解调MATLAB程序(multiple antenna PHS baseband modulation and demodulation )
- 2009-02-15 15:02:27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
