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Matlab-dtmf
dtmf的matlab实现.包含理论分析.适合初学者.(DTMF to achieve the matlab. contains theoretical analysis. suitable for beginners.)
- 2008-12-24 11:52:37下载
- 积分：1
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tsp
说明： 自己编写的蚁群算法求解TSP的代码！已经编译通过了~~~希望有所帮助！(Write your own ant colony algorithm for solving TSP' s code! Has been compiled by the ~ ~ ~ hope that helps!)
- 2011-03-14 11:00:46下载
- 积分：1
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eeglab
这是一个用于心电信号处理的工具包，研究心电方面的可用(this is used for ECG)
- 2012-05-16 19:48:44下载
- 积分：1
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TMS320LF2407
simulink matlab dsp tms320lf2407 永磁无刷直流电机(simulink matlab dsp tms320lf2407 BLDCM)
- 2009-05-08 15:44:24下载
- 积分：1
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ba
说明： 读取文本信息获得原始信息，在此基础上进行仿真，实现BA算法。(BA algorithm
)
- 2011-05-17 11:28:12下载
- 积分：1
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MONTE-CALOR-BASIC
蒙特卡洛入门教程的实例！内附程序和课件！对于学习蒙特卡洛很有帮助！(Examples of Monte Carlo tutorial! Containing the procedures and courseware! Very helpful for learning the Monte carlo!)
- 2020-09-13 19:37:57下载
- 积分：1
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SVPWM
基于sinulink 的矩阵变换器控制，和PWM触发脉冲的生成(Based sinulink ' matrix converter control, and PWM trigger pulse generator)
- 2016-05-16 22:05:42下载
- 积分：1
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wft_hanning
加窗傅里叶变换（windowed fourier transform_guassian）取hanning窗。(Windowed Fourier transform (windowed fourier transform_guassian) take hanning window.)
- 2011-07-06 17:12:32下载
- 积分：1
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Butons
some basic matlab function
- 2011-12-20 00:14:45下载
- 积分：1
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小波神经网络的时间序列预测-短时交通流量预测
本文采用小波神经网络进行交通流量预测，短时交通流量存在随机性和非线性因素，影响预测的准确性。传统预测模型难以反映交通流量变化特点，同时传统神经网络易陷入局部极小值，泛化能力差，交通流量预测精度低。为了提高短时交通流量预测精度，提出一种小波神经网络的短时交通流量预测模型。小波神经网络可以对短时交通流量随机性、不确定性进行局部分析，并进行非线性预测，验证了模型的有效性，进行了对比试验。验证结果表明，小波神经网络提高了短时交通流量预精度，预测结果更具应用价值。(In this paper, wavelet neural network is used to forecast traffic flow. There are random and nonlinear factors in short-term traffic flow, affecting the accuracy of prediction. The traditional prediction model is difficult to reflect the characteristics of traffic flow changes. At the same time, the traditional neural network is easy to fall into the local minimum, the generalization ability is poor, and the prediction accuracy of traffic flow is low. In order to improve the accuracy of short-term traffic flow forecasting, a short-term traffic flow prediction model based on wavelet neural network is proposed. The wavelet neural network can analyze the randomness and uncertainty of short-term traffic flow and perform nonlinear prediction. The validity of the model is verified and a comparative experiment is conducted. The verification results show that the wavelet neural network improves the short-term traffic flow pre-precision, and the prediction result has more application value.)
- 2021-03-17 16:09:21下载
- 积分：1
