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bp网的程序，设计一个神经网络字符分类器对英文字母进行分类。输入向量含有16个分量，输出向量分别用设置的T向量，还不完善，有待改进-bp network program, character design a neural network classifier to classify the English alphabet. Input vector contains 16 components, respectively T vector output vector set, not per
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mixture of experts neural network classifier that classify face/nonface images
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Neural network classifier
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利用MATLAB对遥感图片进行BP神经网络分类-Remote sensing image using MATLAB BP neural network classifier
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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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BP神经网络 作为弱分类器，反复训练，多个BP神经网络组成强分类器-The BP neural network as a weak classifier, repeated training, many of the BP neural network 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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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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類神經網路理論起源於1950年代，當時科學家仿造人類大腦的組織及運作方式，開始提出稱之為「感知機」（Perceptron）的神經元模型，這是最簡單也是最早的類神經模型，感知機通常被拿來做分類器（Classifier）使用。-Neural network theory originated in the 1950s, when scientists counterfeit organization and operation of the human brain, began to make ca
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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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