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7下载：
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 recogniti
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在matlab平台上建立神经网络时使用的nntool的操作过程图示详解-The procedure icon Xiangjie nntool using a neural network in matlab platform
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用MATLAB实现车牌识别，包括定位、分割和字符识别，识别方法是神经网络-License Plate Recognition Using MATLAB implementation, including positioning, segmentation and character recognition, neural network identification method is
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基于PCNN的特征提取,PCNN用于特征提取时，具体平移、旋转、尺度、扭曲等不变性，这正是许多年来基于内容的图像检索系统追求的目标，同时PCNN用于特征提取时，有很好的抗噪性。而且PCNN直接来自于哺乳动物视觉皮层神经的研究，具有提取图像形状，纹理，边缘的属性。用PCNN能很好地对图像进行签名，将二维的图像的特征提取成一维矢量签名。-Feature extraction of specified object is an
important preprocessing stage in ma
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自己写的matlab源程序，神经网络原理与模式识别上的一个作业题，关于对数字1～9的识别的，用BP神经网络matlab工具箱来做的。-Their own source code written in matlab, neural network theory and pattern recognition operation on a title, with respect to figures 1 to 9 of identification, using BP neural network
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利用BP神经网络进行数字和字母识别，对于研究车牌识别的朋友具有重要的参考意义-Using BP neural network to identify numbers and letters, the study of License Plate Recognition friends the meaning of an important reference
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利用BP神经网络实现字母识别；由于是新手，大家指正；-Using BP neural network implementation letter recognition are because novice, everyone correction
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本程序能实现离线的数字识别，在MATLAB下运行，同时可以用其中部分代码实现图像的灰度，二值化，细化，归一化等功能，采用Bp神经网络。-This procedure can achieve the number of off-line identification, in the MATLAB run, at the same time part of the code can achieve one of the gray-scale images, binarization, thinnin
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用小波神经网络变换对时间序列信号进行预测，并做了测试，效果很好，请参考-Transform using wavelet neural network to predict the time series signal, and do a test with good results, please refer to
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Developing Models from Experimental Data using System Identification Toolbox-1. webinar_walk_through.m: contains all the linear and nonlinear estimation examples presented during the webinar.
2. Data files and Simulink models: process_data.mat,
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用MATLAB实现的字符识别，基于神经网络的方法实现。-Implemented using MATLAB character recognition, neural network-based approach to achieve.
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High information redundancy and correlation in face images result in efficiencies when such images are used directly for recognition. In this paper, discrete cosine transforms are used to reduce image information redundancy because only a subset of t
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在神经网络中用迭代法对人脸图像进行压缩及恢复-Iteration in the neural network human face using image compression and restoration
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神经网络源码，可应用于遥感图像的分类，采用的包括bp、kohonen。可以作为范例来学习。-Neural network source code can be used in remote sensing image classification, using the included bp, kohonen. Can serve as examples to learn.
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用Matlab编写的神经元网络程序，可对图像进行分类。程序用到了4种神经元方法，BP效果最好。-Neural network using Matlab program, the image classification. The program used four kinds neurons BP effect.
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RBF神经网络的运用，用matlab实现的代码 -The use of the RBF neural network using matlab code
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基于BP神经网络的车牌识别，采用MATLAB编程-License plate recognition based on BP neural network using MATLAB programming
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使用matlab神经网络工具包进行图像数字识别进行(image digital recognition using matlab neural network toolkit)
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使用matlab搭建神经网络，从单目图像中估计深度值(Using matlab to build a neural network to estimate depth from monocular images)
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该代码实现了使用Matlab实现卷积神经网络来对图像进行去雾操作。(This code implements a convolutional neural network using Matlab to defog the image.)
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