Description: 基于matlab的hopfield神经网络识别带噪声字母的源代码，很经典！-based on Matlab hopfield neural network recognition of the alphabet with the noise source, classic! Platform: |
Size: 31744 |
Author:薛 |
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Description: 对于含有噪声的的数字图像模式“1、2、3、4”，使用“hopfield”神经网络，进行联想、识别，以去除噪声的影响。-for containing noise of the digital image model "1,2,3,4", "hopfield" neural network, Lenovo, identification, in order to remove noise impact. Platform: |
Size: 2048 |
Author:潘盼 |
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Description: 主要研究了超声回波信号的小波分析算法和BP神经网络算法。在超声检测中，作为检测基本数据的脉冲反射回波信号受到电子噪声和结构噪声的干扰，-major study of the ultrasonic echo signal wavelet analysis algorithm and BP neural network algorithm. In ultrasonic testing, to detect the basic data pulse echo signals reflected by the structure of electronic noise and noise interference, Platform: |
Size: 990208 |
Author:琼 |
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Description: 一个基于脉冲耦合神经网络的高斯噪声滤波程序，包括源码和实验结果-pulse coupling based on a neural network Gaussian noise filtering procedures, including source and experimental results Platform: |
Size: 147456 |
Author:huangsong |
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Description: 该程序比较人性化，有个友好界面，能加载图像，并根据图像训练Hopfield神经网络，你也可以通过添加噪声给图像，以判断它的识别率。-Comparison of the program user-friendly, has a friendly interface that can load images, and in accordance with the training images Hopfield neural network, you can also add noise to images, to determine its recognition rate. Platform: |
Size: 8192 |
Author:林盈 |
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Description: This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that need to be estimated. The derivations and proof of geometric convergence are presented, in detail, in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Robust Full Bayesian Learning for Neural Networks. Technical report CUED/F-INFENG/TR 343, Cambridge University Department of Engineering, May 1999. After downloading the file, type "tar -xf rjMCMC.tar" to uncompress it. This creates the directory rjMCMC containing the required m files. Go to this directory, load matlab5 and type "rjdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
-This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that need to be estimated. The derivations and proof of geometric convergence are presented, in detail, in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Robust Full Bayesian Learning for Neural Networks. Technical report CUED/F-INFENG/TR 343, Cambridge University Department of Engineering, May 1999. After downloading the file, type "tar-xf rjMCMC.tar" to uncompress it. This creates the directory rjMCMC containing the required m files. Go to this directory, load matlab5 and type "rjdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
Platform: |
Size: 348160 |
Author:晨间 |
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Description: PCNN神经网络对混合噪声去噪算法描述。效果好到不可思议。可惜我暂时还没实现该算法。-The hybrid neural network PCNN noise denoising algorithm description. Good to incredible. Unfortunately, the moment I am not yet the realization of the algorithm. Platform: |
Size: 1517568 |
Author:闪烁的星云 |
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Description: 现有数字信号自动调制识别方法大多只适用于无记忆信号，如PSK、ASK、FSK信号等。将有记忆
信号(MSK信号)和无记忆信号一起考虑，提出了一种改进的数字信号自动识别方法。该方法采用信号的瞬时统
计量作为特征参数，采用多层神经网络作为分类器。计算机仿真表明：当噪声采用高斯白噪声，并且信噪比大于
l5 dB时，识别率高于96％ ；当信噪比不低于l0 dB时，识别率不低于90％。-Existing digital signal automatic modulation recognition methods are mostly applied only to memoryless signals, such as PSK, ASK, FSK signals. Will have a memory signal (MSK signal) and non-memory signal into consideration, an improved digital signal automatic identification method. This method is the use of the instantaneous signal statistics as a characteristic parameter, the use of multi-layer neural network as classifier. Computer simulation shows that: When the noise using Gaussian white noise, and signal to noise ratio greater than l5 dB, the recognition rate is higher than 96 when the signal to noise ratio not less than l0 dB, the recognition rate of not less than 90. Platform: |
Size: 185344 |
Author:happyuan |
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Description: 该程序是卡曼滤波法在语音处理上的应用,能有效的去除噪声,达到语音增强的目的!-The program is Kaman filtering method in the voice processing application, can effectively remove the noise, to achieve the purpose of speech enhancement! Platform: |
Size: 1024 |
Author:zhjuna |
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Description: 基于BP神经网络识别字符.
BP神经网络算法是把一组样本输入输出问题转化为一个非线性优化问题，并通过梯度算法利用迭代运算求解权值的一种学习方法。采用BP网络进行分类，并附加线性感知器来实现单字符的有效识别，算法简便，识别率高，可适用于多种高噪声环境中的印刷体字符识别。-BP neural network based character recognition. BP neural network algorithm is a set of sample input and output is transformed into a nonlinear optimization problem, and through the use of iterative gradient algorithm for computing the value of a solution of the right way of learning. BP network used for classification, and additional linear perceptron to achieve an effective single-character recognition, the algorithm is simple, a high recognition rate, applicable to a wide range of high-noise environments print character recognition. Platform: |
Size: 113664 |
Author:吕寿鹏 |
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Description: MATLAB噪声消除的代码，神经网络可以部分参考-The elimination of noise code，Neural networks can be part of the reference
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Size: 1024 |
Author:晓利 |
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Description: 给出了一模糊神经网络解耦控制算法,对含有噪声的二阶系统进行控制,并与PID控制结果进行了比较,效果不错!-Given a fuzzy neural network decoupling control algorithm, controls the second-order system for noise control and PID control and the results were compared with the effect of good! Platform: |
Size: 1024 |
Author:马建兵 |
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Description: 采用MATLAB实现Hopfield神经网络算法，并用其来进行字符识别。实验包括单个噪声字符的识别和多个噪声字符的识别两部分。并从这两方面对实验数据进行了分析与对比。-Hopfield neural network implementation using MATLAB algorithm, and use it to carry out character recognition. Experiments included a single noise, character recognition and character identification number of the noise in two parts. From both the experimental data were analyzed and compared. Platform: |
Size: 3072 |
Author:caoliang |
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Description: 【1】随机序列产生程序
【2】白噪声产生程序
【3】M序列产生程序
【4】二阶系统一次性完成最小二乘辨识程序
【5】实际压力系统的最小二乘辨识程序
【6】递推的最小二乘辨识程序
【7】增广的最小二乘辨识程序
【8】梯度校正的最小二乘辨识程序
【9】递推的极大似然辨识程序
【10】Bayes辨识程序
【11】改进的神经网络MBP算法对噪声系统辨识程序
【12】多维非线性函数辨识程序的Matlab程序
【13】模糊神经网络解耦Matlab程序
【14】F-检验法部分程序
-【1】 【2-random sequence generation process white noise generation process】 【3】 M sequence generation process 【4】 to complete a one-time second-order system least-squares identification procedure 【5】 actual pressure system least-squares identification procedure 【6】 Delivery Push the least squares identification procedure augmented 【7】 【8】 least square identification procedures for gradient correction least square identification procedure 【9】 Recursive maximum likelihood identification procedures 【10】 【11】 Bayes identification procedures Improved neural network algorithm MBP noise system identification procedure 【12】 multi-dimensional nonlinear function identification program Matlab program 【13】 fuzzy neural network decoupling Matlab program 【14】 F-test part of the program Platform: |
Size: 7168 |
Author:jshuska |
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Search - noise neural matlab