-
REZA
HELP FOR NEED REZA KIANI
- 2015-03-06 20:25:24下载
- 积分:1
-
ipeak3
本matlab源代码提供了,互动峰值检波器函数。互动峰值检波器是在波动信号中检出最大幅值的装置。(Matlab source code provides the interactive peak detector function. Interactive peak detector signal is detected in the maximum amplitude wave devices.)
- 2011-09-28 16:04:01下载
- 积分:1
-
MATLAB
MATLAB遗传算法工具箱及应用
这是一本不错的书(MATLAB genetic algorithm toolbox and its application..it is a good book!)
- 2012-09-08 22:08:33下载
- 积分:1
-
DCmotor
simulink file for a dc motor with PID
- 2014-01-25 09:29:01下载
- 积分:1
-
改进MFO算法1
说明: 对MFO算法飞蛾位置更新方法进行改进,加快其收敛速度(The moths position updating method of MFO algorithm is improved to accelerate its convergence speed)
- 2020-06-23 14:40:02下载
- 积分:1
-
window-digital-filter
窗函数法数字滤波器设计,包括基本的六种窗函数,内有一份word实验报告,适合信号分析初学者学习(Window function digital filter design, including the six basic window function, which has a word test report, suitable for beginners to learn signal analysis)
- 2013-07-14 12:13:28下载
- 积分:1
-
small-routine
这是Matlab初学者编写的小程序,内容简单明了,比较适合刚入门的人学习(This is a small program written in Matlab beginners, the content is simple, more suitable for people just getting started learning)
- 2013-11-28 09:27:29下载
- 积分:1
-
LFM
线性调频信号发生 以及针对线性调频信号的脉冲压缩(Linear FM signal and the linear frequency modulation pulse compression)
- 2010-11-29 21:13:58下载
- 积分:1
-
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
-
MAGNITUDE-AND-PHASE-RESPONSE-OF-BANDPASS-AND-STOP
MAGNITUDE AND PHASE RESPONSE OF BANDPASS AND BANDSTOP FILTER
- 2013-12-28 01:04:08下载
- 积分:1