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神经网络ANN基于matlab的分类程序
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matlab图像处理工具相，使用了主成分分析，ANN，SVM等方法。-This toolBox used in the image processing(feature extraction and classification)
PCA,LDA,ICA,DCT,RBF,RBE,GRNN,KNN,minimum distance,SVM, and others
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prediction ,plotting,and classification using ann with dimensionality reduction for wegeners disease
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详细介绍了BP神经网络和RBF神经网络的分类能力-Details of the BP neural network and RBF neural network classification ability
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The early detection of arrhythmia is very important
for the cardiac patients. This done by analyzing the
electrocardiogram (ECG) signals and extracting some features
from them. These features can be used in the classification of
different typ
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texture and remote classification by using A-texture and remote classification by using ANN
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SVM is one of the classification method that is very applicable in management.
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神经网络分类器（bp算法）对大肠杆菌蛋白质细胞定位进行分类。-ANN classification （BP ）
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ann code for the classification of characters
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用神经网络进行故障诊断的分类程序，数据引用的是凯斯西储大学的数据-ANN classified node。Performed using neural network fault diagnosis classification procedures, data referenced data is Case Western Reserve University
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This the basic form of Artificial Neural Network (ANN) for classification of multi dot groups.-This is the basic form of Artificial Neural Network (ANN) for classification of multi dot groups.
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This the basic form of ANN(Artificial Neural Network) for classification of multi dot groups which are overlapped.-This is the basic form of ANN(Artificial Neural Network) for classification of multi dot groups which are overlapped.
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In this paper analysis of „ Electrocardiogram (ECG) PQRSTU-waveforms and prediction of
particular decease infection or state of a patient is done using Genetic Algorithm and Artificial Neural
Network (ANN), precise Electrocardiogram (ECG) class
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Classifies the mood of humans according to the look on there faces
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采用感知器网络实现分类，二维输入，二维输出-Using sensor networks classification, 2D input, 2D output
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BP—ANN神经网络matlab源代码，主要用于数据预测，图像分类等，分为3层，输入层，输出和隐含层(BP - ANN neural network matlab source code, mainly used for data prediction, image classification and so on, divided into 3 layers, input layer, output and hidden layer)
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