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iris data analysis
- 经典的人工智能问题 - iris数据分析问题。通过设计三层bp神经网络对花朵数据进行分类识别，并达到了很好的效果。-classic AI problem - iris data analysis problems. Three-bp through the design of neural networks classify data flower identification, and to achieve good results.
根据鸢尾花多组数据先训练网络再对样本进行测试
- 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
Backpropagation
- 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
bp_flower
- 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
ANN_Classifier
- 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
BP_IRIS
- 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
NeuralNetwork
- Neural Network Application. Iris Dataset and Wine Dataset.
IRIS
- hossein alipoor,iris,neural network,mlp
shenjing
- 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.
input
- iris.txt for matlab neural network
iris-species-identification
- 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
ANN-iris
- 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.
IRIS-nn
- 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
iris-classification-matlab-master
- 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
iris
- 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
Iris数据集BP神经网络实例代码
- 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)
iris
- 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)
模式识别代码
- 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
RBF、GRNN和PNN神经网络案例
- 能够实现RBF,GRNN和PNN神经网络的案例，一个是RBF-近红外光谱汽油辛烷值预测，GRNN，PNN-鸢尾花种类识别。代码和数据均有，直接可以拿来使用。(These are cases of RBF, GRNN and PNN neural networks can be realized. One is RBF-NIR spectroscopy gasoline octane prediction, GRNN, PNN-Iris species identification. Both c
iris
- 使用鸢尾花数据集，通过神经网络算法对鸢尾花类型进行预测(Using iris data set, the iris type was predicted by neural network algorithm.)