搜索资源列表
SVM
- SVM神经网络中的参数优化 -如何更好的提升分类器的性能-The SVM parameters optimization of neural network- how to better improve the performance of the classifie
SVM
- MATLAB神经网络43个案例分析 第13个案例的源代码及数据集(MATLAB neural network 43 case analysis, thirteenth cases of the source code and data set)
function fitting
- Bp\感知器\SVM\RBF的神经网络函数拟合程序，其中大部分都是一维输入一维输出，特别适合刚入门的学习者。(These Program were BP\PERCEPTION\rbf\svm function fitting used matlab)
FeatureExtractionUsingAlexNetExample
- 本示例展示了怎样从一个预处理的卷积神经网络中提取特征，并用这些特征去训练一个图像分类器。(This example shows how to extract learned features from a pretrained convolutional neural network, and use those features to train an image classifier. Feature extraction is the easiest and fastest way use
SVM_Demo
- 人工智能神经网络深度学习算法；SVM神经网络算法，用软件可靠性的失效数据预测分析；(SVMNu not including two adjacent 1 non-empty string} and prove your conclusion. Four: (20 points) A single accumulator computer and the assembly language contains the usual assembly instructions LOAD, STORE,
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- 本程序论述在MATLAB环境下如何实现神经网络，包括了常用的神经网络及相关理论，如BP神经 网络、RBF神经网络、SVM、SOM神经网络、灰色神经网络、决策树、随机森林、小波神经网络、NARX神经网络等以及各种优化算法与神经网络的结合。(This procedure describes how to realize neural network in MATLAB environment, including the commonly used neural network and relate
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- 本程序论述在MATLAB环境下如何实现神经网络，包括了常用的神经网络及相关理论，如BP神经 网络、RBF神经网络、SVM、SOM神经网络、灰色神经网络、随机森林、小波神经网络、NARX神经网络等以及各种优化算法与神经网络的结合。(This procedure describes how to realize neural network in MATLAB environment, including the commonly used neural network and related th
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- 本程序论述在MATLAB环境下如何实现神经网络，包括了常用的神经网络及相关理论，如BP神经 网络、RBF神经网络、SVM、SOM神经网络、灰色神经网络、小波神经网络、NARX神经网络等以及各种优化算法与神经网络的结合。(This procedure describes how to realize neural network in MATLAB environment, including the commonly used neural network and related theory,
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- 本程序论述在MATLAB环境下如何实现神经网络，包括了常用的神经网络及相关理论，如BP神经 网络、RBF神经网络、SVM、SOM神经网络、灰色神经网络、NARX神经网络等以及各种优化算法与神经网络的结合。(This procedure describes how to realize neural network in MATLAB environment, including the commonly used neural network and related theories, such
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- 本程序论述在MATLAB环境下如何实现神经网络，包括了常用的神经网络及相关理论，如BP神经 网络、RBF神经网络、SVM、SOM神经网络、灰色神经网络等以及各种优化算法与神经网络的结合。(This program discusses how to implement neural network in the MATLAB environment, including the commonly used neural network and related theories, such as B
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- 本程序论述在MATLAB环境下如何实现神经网络，包括了常用的神经网络及相关理论，如BP神经 网络、RBF神经网络、SVM、SOM神经网络、神经网络等以及各种优化算法与神经网络的结合。(This program discusses how to implement neural network in the MATLAB environment, including the commonly used neural network and related theories, such as BP
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- 本程序论述在MATLAB环境下如何实现神经网络，包括了常用的神经网络及相关理论，如BP神经 网络、RBF神经网络、SVM、SOM神经网络等以及各种优化算法与神经网络的结合。(This program discusses how to implement neural network in the MATLAB environment, including the commonly used neural network and related theories, such as BP neura
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- 本程序论述在MATLAB环境下如何实现神经网络，包括了常用的神经网络及相关理论，如BP神经 网络、RBF神经网络、SVM、SOM神经网络等以及各种优化算法的结合。(This program discusses how to implement neural network in MATLAB environment, including the commonly used neural network and related theories, such as BP neural network
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- 本程序论述在MATLAB环境下如何实现神经网络，包括了常用的神经网络及相关理论，如BP神经 网络、RBF神经网络、SVM等以及各种优化算法的结合。(This program discusses how to implement neural network in the MATLAB environment, including the commonly used neural network and related theories, such as BP neural network, RB
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- 本程序论述在MATLAB环境下如何实现神经网络，包括了常用的神经网络及相关理论，如BP神经 网络、SVM等以及各种优化算法的结合。(This program discusses how to implement neural network in the MATLAB environment, including the commonly used neural network and related theories, such as BP neural network, SVM, and t
emd toolbox
- SVM案例12 SVM神经网络的数据分类预测-葡萄酒种类识别(SVMCase 12 SVM neural network data classification prediction - wine species identification.)
nickdong-matlab-ann-30-cases-master
- 基于MATLAB平台的神经网络的30个案例(30 cases of neural network based on MATLAB platform)
MATLAB
- 本书论述在MATLAB环境下如何实现神经网络，包括了常用的神经网络及相关理论，如BP神经 网络、RBF神经网络、SVM、SOM神经网络、灰色神经网络、决策树、随机森林、小波神经网络、NARX神经网络等以及各种优化算法与神经网络的结合。((This book discusses how to realize neural network in MATLAB environment, including the commonly used neural network and related the
CNN-SVM
- 运用卷积神经网络来提取图片的特征值并用SVM做出分类(using CNN And SVM to train my pictures.)
libsvm-3.17
- 主要针对声品质预测模型使用的相关智能算法，包括支持向量机（SVM）和BP神经网络。(This paper mainly focuses on the relevant intelligent algorithms used in the sound quality prediction model, including support vector machine (SVM) and BP neural network.)