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rbfxunlian
matlb开发的几个仿真例子,以及应用实例和方法。(matlb developed several simulation examples, and application examples.)
- 2012-11-27 11:25:12下载
- 积分:1
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PSO-BP和GA-BP
分别使用PSO和GA优化BP神经网络的参数,用于非线性函数拟合(PSO and GA are used to optimize the parameters of the BP neural network for nonlinear function fitting)
- 2021-04-29 10:38:43下载
- 积分:1
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OPF
最优潮流计算应用matlab程序计算最优潮流问题。包括14节点等。(Optimal Power Flow)
- 2009-05-18 15:31:31下载
- 积分:1
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PLC信道模型
电力线通信是现在家用通信的一种,在PLC通信的研究中,对信道的研究是至关重要的。改代码主要包括多径信道和噪声模型matlab代码,是目前最常用的模型。(Power line communication is now a kind of home communication, in the PLC communication research, the channel research is essential. Change the code mainly include multipath channel and noise model matlab code, is the most commonly used model.)
- 2017-07-25 22:54:47下载
- 积分:1
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Cauer
前面搞错了,把五个文件一起打包上传了,现在一个一个传
考尔Cauer滤波器的离散滤波算法 模拟程序
程序头上有详细的注释和使用说明(Made a mistake in front of the pack with five file upload, and now one by one Chuan Kaul Cauer filter discrete filtering algorithm simulation program procedures detailed head notes and use)
- 2008-06-12 02:20:23下载
- 积分:1
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rect1
数学建模中国人口结构预测模型递推公式Matlab源程序(Mathematical modeling of China' s population structure prediction model recursive formula Matlab source)
- 2013-05-10 23:08:24下载
- 积分:1
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cacode
CA CODE
Copyright (c) 2008, Dan Boschen
All rights reserved.
Redistribution and use in source and binary forms,
- 2010-11-02 20:17:15下载
- 积分:1
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matlab-command-for-image-processing
说明: matlab图像处理相关命令大全,比较全面,并且有示例,都是一些简单但是很实用的matlab命令(it is good for those who are learning MATLAB )
- 2011-03-16 17:50:02下载
- 积分:1
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f_lyapunov_wolf1
用wolf方法计算时间序列的最大lyapunov指数(Calculated by wolf maximum lyapunov index time series)
- 2013-07-16 15:42:52下载
- 积分:1
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A-Bayesian-Adaptive-Basis-Algorithm-for-Single-Pa
Traditional single particle reconstruction methods use either the Fourier or the delta function basis to represent the particle density map. We propose a more flexible algorithm that adaptively chooses the basis based on the data. Because the basis adapts to the data, the reconstruction resolution and signal-to-noise ratio (SNR) is improved compared to a reconstruction with a fixed basis. Moreover, the algorithm automatically masks the particle, thereby separating it from the background. This eliminates the need for ad-hoc filtering or masking in the refinement loop. The algorithm is formulated in a Bayesian maximum-a-posteriori framework and uses an efficient optimization algorithm for the maximization. Evaluations using simulated and actual cryogenic electron microscopy data show resolution and SNR improvements as well as the effective masking of particle from background
- 2013-04-05 22:04:51下载
- 积分:1