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MATLAB环境下，基于脉冲耦合神经网络（pcnn）的图像分割-MATLAB environment, using pulse coupled neural network (pcnn) image segmentation
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关于rbf神经网络实现图像分类的IEEE英文文献 和大家一起分享-Image Classification using a Module RBF Neural Network
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用matlab实现的bp神经网络算法,在图象处理等诸多领域有很大的应用-achieved using Matlab bp neural network algorithm, image processing and many other areas of great application
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this the code for image compression using neural network.-this is the code for image compression using neural network.
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神经网络做的图像模式识别，用的是神经网络分割特征，自己研究的，比较有新意-Neural network to do the image pattern recognition, using a neural network segmentation features, its own research, more new ideas
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1.BP神经网络进行模式识别
2.用BP网络对非线性系统进行辨识
3.一个神经网络PID控制器
4.图像处理的PCA算法
5.图像处理的穷举算法-1.BP neural network pattern recognition 2. Using BP network identification of nonlinear systems 3. A neural network PID controller 4. The PCA algorithm for image process
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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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利用神经网络进行车牌识别，图像先进行二值化，通过多次学习从而建立满足一定要求的识别网络。-License Plate Recognition using neural networks, the binary image before, through multiple learning to recognize the establishment of the network meet certain requirements.
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用matlab实现的图像识别，包含模板匹配和神经网络 -Image recognition using matlab implementation, including template matching and neural 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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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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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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利用神经网络压缩图像的方法，附有详尽解释-Compressed image using neural network method, with a detailed explanation
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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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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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In this post, we are going to share with you, the MATLAB implementation of Color Quantization and Color Reduction of images, using intelligent clustering approaches: (a) k-Means Algorithm, (b) Fuzzy c-Means Clustering (FCM), and (c) Self-Organizing M
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使用拉亚普诺夫指数的公式，利用matlab针对图像进行马氏距离计算 ,BP神经网络用于函数拟合与模式识别。- Raya Punuo Fu index using the formula, Using matlab to calculate the Mahalanobis distance for the image, BP neural network function fitting and pattern recognition.
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图片情感分析模型，基于卷积神经网络，以颜色特征为依据进行情感分类，图片情感极性分为积极和消极两类。(The model can extract the hue, brightness, contrast and other information from a picture to represent the emotional polarity of the image. The image sentiment analysis model is using convolution neura
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