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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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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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应用bp算法实现对iris数据库的分类，iris数据库是人们广泛使用的用于模式分类的实例系统。它含有150个例子，分为三类，每个类由四个实数特征值描述，分别表示萼片（sepal ）长度，萼片宽度，花瓣（petal ）长度，花瓣宽度。问题是根据这四个特性值分类三种iris 植物，输入为四个特征值和类别 （5.1 3.5 1.4 0.2 0），输出算法分类结果 -Bp algorithms applied to the iris database, the classification, iris
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neurak network classification for iris data
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使用bp神经网络进行分类。包括鸢尾花数据，以及训练过程和分类结果。包含非常详细的注释。-Use of bp neural network classification. Including the iris data, and training process and classification results. Contains very detailed notes.
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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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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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