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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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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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基于matlab神经网络的遥感图像分类，使用了BP神经网络-Matlab neural network-based remote sensing image classification using BP neural network
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二维图像的读取，辨认，分析，并且用神经网络进行，判定哪些图片可以归为一类-Two-dimensional image reading, identifying, analyzing, and using neural network to determine which pictures can be classified as a class
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