搜索资源列表
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使用MATLAB语言实现BP神经网络的分类功能,代码很简洁-using MATLAB BP neural network classification function, a very simple code
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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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bp神经网络算法,用于分类,识别,很不错-bp neural network algorithm for classification, identification, very good
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使用MATLAB GUI编写的有界面的神经网络分类的方法。适合做课程设计-The preparation of the use of MATLAB GUI interface of the method of neural network classification. Suitable for curriculum design
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基于matlab的BP神经网络算法,可用于模式分类-Matlab-based algorithm of BP neural network can be used for pattern 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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利用物体的几何特征参数,和bp神经网络实现分类。-The use of the geometric characteristics of object parameters, and the realization of bp neural network classification.
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图象处理 模式识别 多种分类方法(最临近匹配分类器、Bayes分类器、线性函数分类、非线性函数分类、神经网络分类)识别0-9数字 手写数字与数字图片,包括设计训练样品库、可以选择多种分类器来识别识别0-9这十个阿拉伯数字,包括临时手写的数字,也包括图片中的数字
-Pattern recognition image processing a variety of classification (the most close to matching classifier, Bay
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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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基于MATLAB的BP神经网络的数据分类的实现。-MATLAB-based BP neural network implementation of data classification.
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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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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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使用matlab语言,实现了BP神经网络分类的精度验证评价-Matlab language BP neural network classification accuracy validation evaluation
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MATLAB神经网络分类示例,是一种二分类示例,MATLAB2014实现-MATLAB neural network classifier example, is a two classification example, MATLAB2014 achieve
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BP神经网络的数据分类———语音特征信号分类
本案例选取了民歌、古筝、摇滚和流行四类不同音乐,用BP神经网络实现对这四类音乐
的有效分类。-Data speech characteristic signal classification of BP neural network, selects the guzheng, folk, rock and pop four different types of music, the realization of the four types
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利用卷积神经网络进行MINIST数据集的分类识别,MATLAB源程序。-Convolution neural network classification MNIST dataset, MATLAB source.
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主要是BP神经网络的分类算法,采用MATLAB编写,可以成功运行-Mainly BP neural network classification algorithm, using MATLAB prepared, can be successfully run
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《MATLAB 神经网络个案例分析》,可以实现对图像进行分割,去噪,识别和分类。-" MATLAB neural network 43 case studies" can be achieved on image segmentation, de-noising, identification and classification.
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BP神经网络基本原理概述:这种网络模型利用误差反向传播训练算法模型,能够很好地解决多层网络中隐含层神经元连接权值系数的学习问题,它的特点是信号前向传播、误差反向传播,简称BP(Back Propagation)神经网络。BP学习算法的基本原理是梯度最快下降法,即通过调整权值使网络总误差最小,在信号前向传播阶段,输入信号经输入层处理再经隐含层处理最后传向输出层处理;在误差反向传播阶段,将输出层输出的信号值与期望输出信号值比较得到误差,若误差较大则把误差信号传回隐含层直至输入层,在各层神经元中使用
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