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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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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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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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Neural Network Application. Iris Dataset and Wine Dataset.
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hossein alipoor,iris,neural network,mlp
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traning and testing using neural network based on iris dataset
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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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Neural Network with data example for iris flower classification
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iris.txt for matlab neural network
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有导师学习神经网络的分类——鸢尾花种类识别-Supervised learning neural network classification- iris species identification
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用自组织特征映射神经网络对Iris数据集进行分类，我用神经网络工具箱编写了个简单的程序，实现iris的分类。-Using self-organizing feature map neural network examples of clustering Iris data set classification, I use neural network toolbox to write a simple program, realize the classification of Iris.
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基于BP神经网络的非线性分类，及运用其解决异或问题，并对Iris数据进行分类-Nonlinear classification based on BP neural network and the xor problem, and its appplication on the data of Iris.
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在matlab环境下，实现鸢尾花数据的人工神经网络分类，只是比较基本的实现BP网络，没有利用现成的命令。-In the Matlab environment, iris data artificial neural network classifier, but more basic BP network, there is no off-the-shelf command.
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有导师学习神经网络的分类——鸢尾花种类识别，需要的同学可以下载-Learning from the classification neural network- iris species identification, students need to be downloaded to try
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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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BP神经网络matlab实现，程序直接下载就可以运行，全部打包好。该程序主要用于分类iris数据，程序很完整，但不同于网络大部分程序，思路很好，值得学习，适用于初学BP神经网络的人。-BP neural network matlab realize, you can run the program directly download all packed. The program is mainly used for classification iris data, the procedure
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Iris数据集BP神经网络实例代码，该例子程序提供AForge.NET实现和matlab实现两种途径(Iris data set, BP neural network example code)
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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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基于matlab的Iris、乳腺癌数据集的模式识别分类算法，含有 遗传算法+SVM、isodata、感知器算法、LMSE、神经网络等算法的实现代码，用于聚类效果良好，是模式识别大作业的参考资料(The pattern recognition classification algorithm based on MATLAB for Iris and breast cancer data sets contains the implementation code of genetic algorit
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