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Description: RBF神经网络应用于IRIS数据集的例子-Am example of RBF-NN applied on IRIS Data Set
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Size: 19456 |
Author: LikeTheBird |
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Description: rbf-iris的matlab源代码，用rbf实现iris分类-rbf-iris matlab source code, using rbf achieve iris classification
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Size: 2048 |
Author: 潘程序 |
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Description: 神经网络RBF Isodata算法计算得到iris数据集的聚类中心，从而进行分类。并包含iris数据集-RBF Isodata neural network algorithm to get the cluster center iris data set, thus classified. And contains iris data set
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Size: 3072 |
Author: 张正 |
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Description: 进行Iris数据分类实验，使用matlab构建rbf神经网络-Iris data classification experiments, using matlab to build the rbf neural network
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Size: 2048 |
Author: lingalu |
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Description: 自己编写的RBF神经网络,采用的数据集是iris.
先使用KMeans找中心点，再训练RBF网络-I have written RBF neural network, using the data set is iris.
First using KMeans find the center, retraining RBF network
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Size: 1243136 |
Author: qwiasd |
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Description: 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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Size: 1024 |
Author: 夏日回忆
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Description: 为了评价ELM的性能，试分别将ELM应用于基于近红外光谱的汽油辛烷值测定和鸢尾花种类识别两个问题中,并将其结果与传统前馈网络(BP、RBF、PNN、GRNN等)的性能和运行速度进行比较,并探讨隐含层神经元个数对ELM性能的影响。(n order to evaluate the performance of ELM, test the application of ELM in the near infrared spectroscopy based on the determination of gasoline octane value and two kinds of problems of iris recognition, and the results of the traditional feedforward networks (BP, RBF, PNN, GRNN) to compare the performance and speed, and to explore the hidden layer number effect on the performance of ELM neurons.)
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Size: 177152 |
Author: panyuhang
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Description: 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 code and data are available and can be used directly.)
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Size: 226304 |
Author: 悠嘻猴岁月 |
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