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GRNN的数据预测-基于广义回归神经网络货运量预测-The data prediction GRNN- Generalized regression neural network based on volume forecast
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BP神经网络用于分类与回归
1、NeuralNetwork_BP_Classification.m - 分类
2、NeuralNetwork_BP_Regression.m - 回归
-BP neural network for classification and regression 1, NeuralNetwork_BP_Classification.m- Category 2, NeuralNetwork_BP_Regression.m- Regression
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BP网络的应用: BP神经网络用于分类与回归, 使用matlab打开-Application of BP Network: BP neural network for classification and regression, the use of matlab to open
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RBF神经网络用于分类与回归,文件说明:
1、NeuralNetwork_RBF_Classification.m - 分类
2、NeuralNetwork_RBF_Regression.m - 回归-RBF neural network for classification and regression, the document notes: 1, NeuralNetwork_RBF_Classification.m- Category 2, NeuralNetwork_RBF_Re
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广义回归神经网络是RBF的一个扩展。但是具体怎么实现却代码很少,本代码是一个grnn很好的学习例子。-Generalized regression neural network is an extension of RBF. But how to achieve specific code but rarely, the code is a good learning example grnn.
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RBF神经网络用于分类与回归,非常实用,强烈建议下载-RBF neural network for classification and regression, very practical, it is strongly recommended to download
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支持向量机和BP神经网络虽然都可以用来做非线性回归,但它们所基于的理论基础不同,回归的机理也不相同。支持向量机基于结构风险最小化理论,普遍认为其泛化能力要比神经网络的强。为了验证这种观点,本文编写了支持向量机非线性回归的通用Matlab程序和基于神经网络工具箱的BP神经网络仿真模块,仿真结果证实,支持向量机做非线性回归不仅泛化能力强于BP网络,而且能避免神经网络的固有缺陷——训练结果不稳定。
-Support Vector Machine and BP neural network, ev
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神经网络用于分类与回归,先产生训练样本与测试样本,每一列为一个样本- neural network for classification and regression, first create the training samples and test samples, each as a sample of
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泛化回归神经网络GRNN(generalized regression NN)应用实例,适合学习使用。-Generalized regression neural network GRNN (generalized regression NN) application examples for learning to use.
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用matlab编写的RBF神经网络用于分类与回归的程序-Prepared using matlab RBF neural network for classification and regression procedures
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这是一个基本的数模题目的套路,分析数模聚类问题,例子是乳腺癌的诊断模型,过程为标准化数据,逐步回归,分析主要因素,聚类方法有距离法和神经网络法,均附有源码和解释说明-This is an essential topic of routine digital-analog, digital-analog cluster analysis problem example is the breast cancer diagnostic model, the process for the standa
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RBF神经网络用于分类与回归,提供了一个学习神经网络的平台,对大家有很大帮助。-RBF neural network for classification and regression, neural networks provide a learning platform for all of us much help.
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模糊聚类虽然能够对数据聚类挖掘,但是由于网络入侵特征数据维数较多,不同入侵类别间的数据差别较小,不少入侵模式不能被准确分类。本案例采用结合模糊聚类和广义神经网络回归的聚类算法对入侵数据进行分类。
-Although fuzzy clustering to cluster the data mining, but the characteristics of the network intrusion data more dimensions, different invasion was l
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一种基于AFSA的神经网络投影寻踪耦合回归模型AFSA neural network based projection pursuit regression model coupling-AFSA neural network based projection pursuit regression model coupling
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rbf神经网络用于函数的回归,能根据已知的系写点对函数进行分析,达到预期目标。-rbf neural network for function regression, according to the known system of writing points to the function, to achieve the desired objectives.
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径向基神经网络的应用,回归分析和分类分析程序。有一定的参考意义。-Application of RBF neural network, regression analysis and classification of procedures. Have some reference value.
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BP神经网络训练程序,可以用来做各种计算,如线性拟合-BP neural network training procedures can be used for various calculations, such as linear regression, etc.
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广义回归神经网络GRNN用于对癫痫发作的分类,包括RBF-Generalized regression neural network GRNN for the classification of epileptic seizures, including the RBF
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MATLAB神经网络30个案例分析,较为详细的介绍了MATLAB在人工神经网络方面的应用,比如分类和回归等-MATLAB neural network analysis of 30 cases, more detailed introduction to MATLAB in the application of artificial neural networks, such as classification and regression
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神经网络,回归预测,30个典型案例,回归模型,数据驱动(Neural network, regression prediction, 30 typical cases, regression model, data-driven)
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