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Hamming 神经网络从功能上来看是最小Hamming 距离分类器.利用它能够完成不完整输入信息与所存储模式的最小汉明距离分类.
Hamming 网络是一个双层神经网络,第一层网(即匹配子网络)是用来计算输入模式与该网络已经学习过的各样本之间的匹配测度.第二层网(即竞争子网络)接收从匹配子网络送来的未知模式与已存各样本的匹配测度,然后经过多次迭代运算就可以求得与输入模式相匹配的样本.-Hamming neural network from the functional point o
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图像模式识别
模板匹配法
神经网络分类器
几何分类器
基于概率统计的贝叶斯分类器-image pattern recognition template matching neural network classifiers classification is based on geometric probability and statistics Bayesian classifier
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用VC++实现图像的分类识别,模板匹配分类器,Bayes分类器,线性函数分类法,非线性分类法,神经网络分类器,With VC++ Achieve image classification and recognition, template matching classifier, Bayes classifier, a linear function of classification, non-linear classification, neural network classifiers
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基于BP_Adaboost的强分类器设计-公司财务预警建模,基于神经网络的matlab参考代码。-Strong classifier based on BP_Adaboost design- the company' s financial early warning model, based on neural network matlab reference code.
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Nowadays security becomes a most important issue regarding a spoof attack. So, multimodal biometrics technology has attracted
substantial interest for its highest user acceptance, high security, high accuracy, low spoof attack and high recognition
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对两种类型的纹理图像,各选取30幅,计算灰度共生矩阵,提取特征向量;构件BP神经网络分类器,用每种类型的前20幅对分类器进行训练,后10幅用来测试分类效果。-Two types of texture image for each select 30 calculated GLCM, extracting feature vectors member BP neural network classifier, before use each type of 20 pairs classifier
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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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SVM神经网络中的参数优化 -如何更好的提升分类器的性能 绝对可以无错运行-SVM neural network classifier parameter optimization performance improvement - how to better the absolute can be error free operation
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SVM神经网络中的参数优化 -如何更好的提升分类器的性能-SVM neural network classifier parameter optimization performance improvement- how the better
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This little package contains a Parzen Neural Network classifier that can classify data between N classes in D dimensions. The classifier is really fast and simple to learn
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This little package contains a Parzen Neural Network classifier that can classify data between N classes in D dimensions. The classifier is really fast and simple to learn
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This little package contains a Parzen Neural Network classifier that can classify data between N classes in D dimensions. The classifier is really fast and simple to learn
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This little package contains a Parzen Neural Network classifier that can classify data between N classes in D dimensions. The classifier is really fast and simple to learn
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A feed forward neural network code for IDLrequres idl licens and at least virtual machine.Multiple parameters can be set for the neural network classifier
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A feed forward neural network code for IDLrequres idl licens and at least virtual machine.Multiple parameters can be set for the neural network classifier
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A feed forward neural network code for IDLrequres idl licens and at least virtual machine.Multiple parameters can be set for the neural network classifier
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有导师学习的神经网络分类-鸳尾花种类识别-Supervised learning neural network classifier- iris species identification
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network intrusion detection using decision tree for feature selection and neural network classifier
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MLP neural network classifier
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神经网络分类器,三层神经网络,亲自验证效果还不错-Neural network classifier, three layer neural network
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