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MATLAB
用MATLAB实现三维实体箭头的绘制，解决了MATLAB不能绘制实体箭头的问题(Draw 3D arrow with MATLAB)
- 2013-01-10 11:04:26下载
- 积分：1
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mpxfoil_0.1.tar
Using XFOIL based on Lifting Surface Theory to Achieve 3-D Aerodynamics
- 2012-05-03 12:13:06下载
- 积分：1
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matlab-code
There are parametric and nonparametric methods for adaptive Hammerstein system identification.
- 2020-08-25 16:58:14下载
- 积分：1
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GaussianMixtureModel_2-
高斯混合模型关于高斯混合模型（GMM）的matlab源代码(on Gaussian mixture model (GMM) Matlab source code)
- 2020-12-21 14:29:09下载
- 积分：1
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BPP
多个 matlab 神经网络bp算法 调制识别(Matlab neural network algorithm for multiple modulation recognition bp)
- 2011-04-20 11:02:19下载
- 积分：1
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FFTbianhuan
对已知的以为数据进行FFT变换，得到数据的频谱图，进而可分析出幅值和相角。(Known that the data FFT, the frequency spectrum of the data, which can be analyzed magnitude and phase angle.)
- 2013-05-07 17:08:00下载
- 积分：1
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MATLAB
《MATLAB仿真技术与实例应用教程》一书中的仿真算例。("MATLAB simulation technology tutorials and examples of application," a book of a simulation example.)
- 2012-01-01 18:18:25下载
- 积分：1
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Function_estimation-ConstantGA
Function_estimation Constant Genetic Algo.rar
- 2009-06-25 15:45:31下载
- 积分：1
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the-whole-file-of-wind
一个完整的风力发电的控制程序，实现了较好的控制效果。(DV-hop programs achieve the simple network node location, or PSO improvement.
)
- 2011-12-16 18:53:49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
