搜索资源列表
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2下载：
matlab平台的基于bp神经网络的遥感图像分类,matlab platform bp neural network-based remote sensing image classification
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基于BP神经网络的遥感图像分类代码。从样本中提取崇明岛东滩十种地物的光谱特征，并训练BP网络，再利用网络进行分类-BP neural network-based remote sensing image classification code. Extracted from samples of 10 kinds of Chongming Island, Dongtan features of the spectral characteristics and to train BP networ
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基于神经网络的图像分类方法，代码执行效率高，国外网站上下的，是一个完整的工程-Based on neural network image classification methods, code implementation of high efficiency, foreign Web site from top to bottom, is a complete project
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遗传算法(GA)和神经网络(network)结合的算法，用于图像分类，包含完整的工程-Genetic Algorithm (GA) and neural network (network) combining algorithm, for image classification, including the complete works
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该软件需用Delphi7设计，采用灰度共生矩阵的方法对肝脏超声图像进行纹理特征提取。通过神经网络进行分类处理。-The software required Delphi7 design, the use of gray-scale co-occurrence matrix method of liver ultrasound image texture feature extraction. Through the neural network classification.
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模式识别的
图像的贝叶斯分类
图像的贝叶斯分类
神经网络模式识别-Bayesian pattern recognition image classification image of the Bayesian classifier neural network pattern recognition
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VC开发的图像分类程序，里面有神经网络的算法，-VC development of image classification procedures, which are neural network algorithms,
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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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主要是神经网络系统对图像样本进行训练，然后进行模式分类。-Main is neural network to sample image, and then training pattern classification.
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贝叶斯分类程序，用于图像的分割，二值化等，是模式识别中的一种基本分类方法。
k均值聚类，神经网络-Bayesian classification procedures for image segmentation, binarization is a basic classification in pattern recognition. k-means clustering, neural networks
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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 R2010a的BP神经网络在遥感图像分类中的应用源代码-Application source code matlab R2010a BP neural network-based remote sensing image classification
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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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脉冲耦合神经网络工具包，可用于图像去噪、增强、融合、分类等领域-Pulse coupled neural network tool kit can be used for image denoising, enhancement, integration, classification and other fields
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BP神经网络图像分类程序,代码很好懂，适合初学者。样本选的不是很大。-BP neural network image classification procedures, code easy to understand for beginners. Sample selected is not great.
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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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基于分类树的分类，与神经网络相比算法简单，分类结果看数据大小和样本集而定。简单易行的图像处理，对于初学者非常实用。
-Classification tree based on comparison with the neural network algorithm is simple, look at the data classification and sample size may be set. Simple image processing, very useful for beg
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随机森林算法在图像特征分类回归中的应用，通过结合神经网络进行更好的特征数据处理-Application of random forest algorithm in image classification and regression, better features by combining neural networks data processing
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运用神经网络算法对图像进行分类，里面包括实例-Neural network algorithm for image classification, which includes examples
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用于图像分类的源代码，深度学习的应用，cnn卷积神经网络的使用，可以自己更换数据集或者调优，适合初学者使用！-For image classification of the source code, the application of in-depth learning, cnn convolutional neural network, you can replace the data set or tuning, suitable for beginners!
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