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4下载：
基于BP神经网络，根据鸢尾花多组数据先训练网络再对样本进行测试，给出分类结果,Based on BP neural network, in accordance with multiple sets of data iris network before training again for testing classification results are given
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使用Iris数据集，朴素贝叶斯分类算法。,The use of Iris data set, Naive Bayes classification algorithm.
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iris数据分类，bp神经网络实现，适当调整训练次数和训练精度，分类准确率可达99 以上-iris data classification, bp neural network, training times and training appropriate adjustments to the accuracy, classification accuracy rate of 99 or more
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bp神经网络对鸢尾属植物分类，用四个特征进行分类，分类正确率100 - iris data classification using bp neural network
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This project compares the performance of SOM versus LVQ in classification problems.
Given two data sets:
‘iris.dat’ has 150 patterns of 3 classes with 4 features.
‘wine.dat’ has 178 patterns of 3 classes with 13 features.
For SOM, use its alg
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多种实现三组数据集（iris测试数据）分类的算法实现（LMS、MSE、HK等。-several methods(LMS,MSE,HK) to achieve classification of three data set（iris data set).
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matlab应用实例：基于神经网络的分类，用的是iris数据集做例子-matlab applications: classification based on neural network, using the iris data set an example
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bp神经网络实现iris数据分类，非常好用，，，，，，，，，，，，，，，，，，，matlab-bp neural network to achieve the the iris classification of data, and very easy to use,,,,,,,,,,,,,,,,, matlab
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Computational Intelligence IRIS dataset Classification
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matlab写的自己设计的自适应网络做iris聚类分析并分类的实验，算法不是很稳定，有一定参考价值-matlab write ,adaptive cluster analysis and classification of iris experiment, the algorithm is not very stable and have a certain reference value
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利用bp算法对鸢尾花数据进行分类的matlab实现程序-Bp algorithm using iris data classification procedures to achieve matlab
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用matlab实现iris数据分类，适合初学者的一个很有用的算法-Using matlab to achieve iris data classification, suitable for beginners of a useful algorithm
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用于对IRIS数据进行分类的各种分类器，用于对多维采样点进行无监督分类。可根据类别数修改分类器，模式识别作业的部分代码。-IRIS data for the various classification categories, for sampling points on the multi-dimensional non-supervised classification. Can be modified in accordance with several types of classifi
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使用BP网络实现了对Iris数据的分类，使用了可变学习速率和带动量的梯度下降算法。-Using the BP network realizes the classification of Iris data, the use of the variable learning rate and the amount of gradient descent algorithm driven.
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matlab语言编写的实现iris数据的最小错误贝叶斯分类-Iris data to achieve the minimum error Bayesian classification
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数据挖掘经典数据，鸢尾花分类，txt形式矩阵，直接使用非常方便。-Classical data mining data, iris classification, the form of TXT matrix directly, very convenient to use.
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鸢尾花的分类算法，主要输采用R软件进行编码-Iris classification algorithm, the main output is encoded using the R software
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In this report, we devise a methodology for identifying the species of an iris amongst 3 based on 4 distinctive features. We first cover the constitution of the data set and input patterns. We then determine the layout and structure of the neural net
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使用iris鸢尾花数据集测试rbf神经网络的分类效果(Using iris iris dataset to test the classification effect of RBF neural network)
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取Iris-setosa前40组数据的前两列和Iris-versicolor的前40组数据的前两列作为训练样本。即训练样本共有两类，每类40组数据，每组数据由两个属性值。进行分类训练(Take the first two columns of the first 40 sets of data and the first two sets of the first 40 groups of Iris-setosa as the training samples of the first 40 s
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