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matlab实现,附带数据,并有显示结果图的功能,很方便用的
matlab实现,附带数据,并有显示结果图的功能,很方便用的-It s implemented using matlab with data as attachment. It also has the function of showing the result and is very convenient to use.
- 2022-02-16 01:49:42下载
- 积分:1
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BP神经网络C++实现
BP神经网络C++实现-BP neural network implemented by C++
- 2022-06-19 10:46:48下载
- 积分:1
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Classical decision tree classification algorithm ID3 and C4.5 code public packet...
决策树分类中经典算法的ID3和C4.5代码公共包!-Classical decision tree classification algorithm ID3 and C4.5 code public packet!
- 2023-08-27 03:10:04下载
- 积分:1
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利用神经网络预测时间序列,以太阳黑子和实际的转子故障信号为例,matlab编程
利用神经网络预测时间序列,以太阳黑子和实际的转子故障信号为例,matlab编程-Using neural network time series prediction to sunspots and the actual rotor fault signal as an example, matlab programming
- 2022-02-03 19:32:13下载
- 积分:1
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using the cepstrum, neural network to increase but not a success, poor stability
用的是倒谱,加神经网络~不过没有成功,稳定性很差-using the cepstrum, neural network to increase but not a success, poor stability
- 2022-02-02 20:57:30下载
- 积分:1
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Principles of Data Mining is a data mining inside another in this classic textbo...
Principles of Data Mining是数据挖掘领域里面又一本经典的教材,呵呵,希望对大家有帮助-Principles of Data Mining is a data mining inside another in this classic textbook, Oh, you want to help
- 2022-08-10 19:03:53下载
- 积分:1
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This is a neural network algorithm important, quite meaningless.
这是神经网络中一个重要的算法,挺有意义的。-This is a neural network algorithm important, quite meaningless.
- 2022-02-21 03:22:48下载
- 积分:1
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分类器的设计,包括knn方法和BP的方法。对一系列样本点进行分类
分类器的设计,包括knn方法和BP的方法。对一系列样本点进行分类-Classifier design, including methods and BP KNN method. On a series of sample points to classify
- 2022-01-25 14:47:38下载
- 积分:1
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实现了RBF网络,已载入训练和测试样本,可根据需要将其更换...
实现了RBF网络,已载入训练和测试样本,可根据需要将其更换-Achieved a RBF network, has been printed in the training and test samples may be needed to replace
- 2022-06-29 15:59:05下载
- 积分:1
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以黎曼几何为理论依据,基于S.Amari的修正核函数思想提出了两种新的保角变换,用其对核函数进行数据依赖性改进,进一步提高支持向量机分类器泛化能力。以人工非线性...
以黎曼几何为理论依据,基于S.Amari的修正核函数思想提出了两种新的保角变换,用其对核函数进行数据依赖性改进,进一步提高支持向量机分类器泛化能力。以人工非线性分类问题
为对象进行研究,仿真实验结果表明采用新保角映射可以快速显著地改善分类器泛化性能,而且能大幅度地减少支持向量的数目。-Two novel conformal transformations were proposed based on the Riemannian geometry theory and S.Amari’sidea.And the kernel function was modified by the transformation in a data-dependent way.Our experimental results for theartificial nonlinear data set show that the generalization performance of support vector machines classifier is improvedremarkably and the number of support vectors is decreased greatly.
- 2022-01-26 07:39:35下载
- 积分:1