Description: 一种通过自组织竞争学习网络实现数据降维和可视化的单层神经网络模型。用此算法可以把输入空间的多维映射到低维的（一维或者二维）的离散网络上，并将保持相同性质的输入数据在映射到低维空间时的拓扑一致性。iris以及letter两个数据集进行分类-A competitive learning through self-organizing network for data dimensionality reduction and visualization of single-layer neural network model. Using this algorithm can be multi-dimensional input space is mapped to the low-dimensional (one-dimensional or two-dimensional) discrete network, and will remain the same as the nature of the input data is mapped to the low-dimensional space of topological consistency. iris as well as the letter the two data sets to classify Platform: |
Size: 1024 |
Author:军军 |
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Description: 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 Platform: |
Size: 4096 |
Author:wawa |
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Description: 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. Platform: |
Size: 1024 |
Author:songmin |
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Description: 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 Platform: |
Size: 3072 |
Author:熊星星 |
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Description: 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 Platform: |
Size: 8192 |
Author:何晓丽 |
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Description: 模式识别课程作业-神经网络分类IRIS数据集.共两层网络，程序有详细注释。程序结果将输出到EXCEL文件中，也很详细。-Course work in pattern recognition- Neural Network Classification IRIS data set. A total of two networks, a detailed program notes. Program results will be output to the EXCEL file, and very detailed. Platform: |
Size: 2048 |
Author:yumingwei |
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Description: 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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Size: 3072 |
Author:sxj |
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Description: 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. Platform: |
Size: 8192 |
Author:raimose |
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Description: 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. Platform: |
Size: 4096 |
Author:李毅 |
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Description: 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 Platform: |
Size: 3072 |
Author:刘辉 |
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Description: 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 network we will use for the classification. We continue by testing the network in real life conditions. We conclude with a review of the methods used, and how they could be improved. Platform: |
Size: 955392 |
Author:ryma |
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Description: 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 algorithm +SVM, ISODATA, perceptron algorithm, LMSE, neural network and so on. It is used for good clustering results and is a reference for pattern recognition.) Platform: |
Size: 6144 |
Author:张小明12345 |
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