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SavGol
S-G滤波器，可实现较好的噪声滤除功能。(S-G filter which can achieve better in denoising stochastic noise.)
- 2009-09-14 15:36:07下载
- 积分：1
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Patterrecognitionbookandsourcecode
模式分类（杜达）（第二版）电子书 及原书中的代码。绝对值得永久收藏。(Pattern Classification (Duda) (second edition) book, e-books and the original code. Definitely worth the permanent collection.)
- 2008-06-25 08:32:12下载
- 积分：1
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MATLAB
用Matlab编写的一些关于通信原理的代码，并包含了通信原理的编程书(Matlab prepared the code of communication principle , and include programming books of communication principle )
- 2012-04-06 17:07:08下载
- 积分：1
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simulink__matlab
matalab simulink的仿真介绍，其中是以具体实例讲述的，清晰易懂(Matalab simulink simulation is introduced, which is based on specific examples relate, transparent)
- 2012-01-03 21:49:35下载
- 积分：1
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TwoLinkManipulator
code of two link manipulator,it is for forward kinematics
- 2013-05-20 17:23:12下载
- 积分：1
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TwoLRM
Dynamic_Two Links Robot Manipulator_Matlab Simulink
- 2014-03-17 22:46:12下载
- 积分：1
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Fiber Laser simulation
模拟光纤激光器 ，长度，浓度，及泵浦功率之间的关系(The relationship between the length, the concentration, and the pump power of the analog fiber laser)
- 2018-03-28 20:07:36下载
- 积分：1
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ExtendedKalmanFilter
本软件是关于卡尔曼滤波的算法，是在MATLAB环境下的程序。(kalman filter)
- 2009-02-15 12:33:21下载
- 积分：1
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hyperChaos
超混沌,用于显示各种经典的超混沌系统的方程及其混沌吸引子 非常好 可以直接使用(hyper-chaos)
- 2009-03-14 14:18:21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
