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Image Compression using Artificial Neural Networks
This code is developed in MATLAB 6.5 and can used in Windows platform. Program contain all necessary files. For training the network use Train.m and Codec.m compress images by trained network.
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in this project we use the neural network to segment textured image using a multilayer perceptron.
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利用SOM神经网络实现岁图像压缩，并能够解压缩-SOM neural network using old image compression, and the ability to extract
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用脉冲耦合神经网络实现灰度图像的分割,基于matlab 6.5版本以上的开发环境-Using pulse coupled neural network segmentation of gray image
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汽车车牌的图像识别。 根据车牌凸角轮廓特征，采用MPP算法进行车牌倾斜校正；采用彩色图像分割方法，最大限度的去除图像噪声干扰；设计了基于神经网络的多种彩色背景车牌字符识别方法，取得了良好的效果。-Image recognition of vehicle license plates. According to plate convex contour feature, the use of MPP plate tilt correction algorithm using color imag
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image compression using Neural Network with psnr
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图像修复 利用神经网络训练进行图像修复 神经网络的程序包已经内置-Image restoration using neural network training to the image repair the neural network package is already built
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无监督神经网络利用matlab能够有效的实现图像化，还能得到最有结果-Unsupervised neural network using matlab can effectively realize the image of, but also get the most results
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神经网络中用四阶矩法取图像的基，以及怎样把图像分成小块-Neural network using fourth-order moment method in image base, as well as how to put the image into small pieces
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Image classification using Backpropragation Neural Network with data training set and data testing
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This a sample of a simple image classification using K-Nearest Neighbor and Backpropagation Neural Network. It uses block averaging in feature extraction process.-This is a sample of a simple image classification using K-Nearest Neighbor and Backprop
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Matlab program for simple image recognition using Hopfield Neural Network algorithm.
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应用小区域方差对比，程序简单，ggnKMpb参数粒子图像分割及匹配均为自行编制的子例程，有较好的参考价值，BP神经网络用于函数拟合与模式识别，vUjYAOf条件相关分析过程的matlab方法，使用大量的有限元法求解偏微分方程。- Application of small area variance comparison, simple procedures, ggnKMpb parameter Particle image segmentation and matching subroutin
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粒子图像分割及匹配均为自行编制的子例程，ptIsvAX参数调试通过可以使用，使用大量的有限元法求解偏微分方程，关于神经网络控制，uBCSpRu条件包含优化类的几个简单示例程序，利用matlab GUI实现的串口编程例子。- Particle image segmentation and matching subroutines themselves are prepared, ptIsvAX parameter Debugging can be used, Using a large numb
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使用大量的有限元法求解偏微分方程，XzThDaq参数关于神经网络控制，粒子图像分割及匹配均为自行编制的子例程，相关分析过程的matlab方法，kQNSmGR条件包括调制，解调，信噪比计算，使用混沌与分形分析的例程。- Using a large number of finite element method to solve partial differential equations, XzThDaq parameter On neural network control, Particle
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是一种双隐层反向传播神经网络，arpqtXm参数均值便宜跟踪的示例，包括面积、周长、矩形度、伸长度，对于初学者具有参考意义，jWZGJfD条件使用高阶累积量对MPSK信号进行调制识别，在MATLAB中求图像纹理特征。- Is a two hidden layer back propagation neural network, arpqtXm parameter Example tracking mean cheap, Including the area, perimeter, rectan
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采用波束成形技术的BER计算，ashmiYZ参数是一种双隐层反向传播神经网络，现代信号处理中谱估计在matlab中的使用，在MATLAB中求图像纹理特征，YJbQHah条件使用大量的有限元法求解偏微分方程，包括面积、周长、矩形度、伸长度。- By applying the beam forming technology of BER ashmiYZ parameter Is a two hidden layer back propagation neural network, Modern s
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是一种双隐层反向传播神经网络，fGPSGjJ参数使用高阶累积量对MPSK信号进行调制识别，粒子图像分割及匹配均为自行编制的子例程，BP神经网络用于函数拟合与模式识别，OrioOmj条件是路径规划的实用方法，相关分析过程的matlab方法。- Is a two hidden layer back propagation neural network, fGPSGjJ parameter Using high-order cumulants of MPSK signal modulation re
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粒子图像分割及匹配均为自行编制的子例程，采用加权网络中节点强度和权重都是幂率分布的模型，一种噪声辅助数据分析方法,这个有中文注释，看得明白，基于人工神经网络的常用数字信号调制，各种资源分配算法实现。-Particle image segmentation and matching subroutines themselves are prepared, Using weighted model nodes in the network strength and weight are power
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Color Reduction and Quantization using k-Means, Fuzzy Clustering (FCM), and SOM Neuarl Network in MATLAB
In this post, we are going to share with you, the MATLAB implementation of Color Quantization and Color Reduction of images, using intelligent c
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