Welcome![Sign In][Sign Up]
Location:
Search - generalized regression neural network matlab

Search list

[AI-NN-PRgrnnforexample

Description: 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.
Platform: | Size: 1024 | Author: 王淑娟 | Hits:

[matlabGRNN

Description: 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.
Platform: | Size: 1024 | Author: luofen | Hits:

[AI-NN-PRGeneral_neural_network_of_clustering_algorithm

Description: 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 little difference between categories of data, many intrusion model can not be accurately classified. This case using fuzzy clustering and generalized regression neural network clustering algorithm to classify data on the invasion.
Platform: | Size: 25600 | Author: si | Hits:

[OtherThe-data-forecasting-based-on-GRNN

Description: 通过matlab编程,建立了基于广义神经网络的数据预测,并通过交叉验证进行网络的训练,取得了不错的预测效果-By matlab programming,we established the data forecasting based on generalized regression neural network, and we use corss-validation to train the network,which obtains better forecasting effect.
Platform: | Size: 3072 | Author: kasino | Hits:

[AI-NN-PReg8-huoyunliangjiance

Description: 《MATLAB神经网络30个案例分析》中的第8个例子,案例8 GRNN的数据预测-基于广义回归神经网络货运量预测。希望对大家有一定的帮助!-The MATLAB neural network analysis of 30 cases of example, 8 cases of 8 GRNN data to predict- freight volume prediction based on generalized regression neural network. Hope to have certain help to everybody!
Platform: | Size: 7168 | Author: 杨飞 | Hits:

[matlabsftgjvuk

Description: 插值与拟合,解方程,数据分析,包括广义互相关函数GCC时延估计,现代信号处理中谱估计在matlab中的使用,进行逐步线性回归,旋转机械二维全息谱计算,BP神经网络用于函数拟合与模式识别。- Interpolation and fitting, solution of equations, data analysis, Including the generalized cross-correlation function GCC time delay estimation, Modern signal processing used in the spectral estimation in matlab, Stepwise linear regression, Rotating machinery 2-d holographic spectrum calculation, BP neural network function fitting and pattern recognition.
Platform: | Size: 6144 | Author: qcajrm | Hits:

[matlabqunfen_v18

Description: 基于人工神经网络的常用数字信号调制,包括AHP,因子分析,回归分析,聚类分析,matlab程序运行时导入数据文件作为输入参数,gmcalab 快速广义的形态分量分析,有PMUSIC 校正前和校正后的比较,虚拟力的无线传感网络覆盖,使用高阶累积量对MPSK信号进行调制识别,数值分析的EULER法。 - The commonly used digital signal modulation based on artificial neural network, Including AHP, factor analysis, regression analysis, cluster analysis, Import data files as input parameters matlab program is running, gmcalab fast generalized form component analysis, A relatively before correction and after correction PMUSIC, Virtual power wireless sensor network coverage, Using high-order cumulants of MPSK signal modulation recognition, EULER numerical analysis method.
Platform: | Size: 5120 | Author: 施锁牛 | Hits:

[matlabsaitei_v44

Description: 基于人工神经网络的常用数字信号调制,包括AHP,因子分析,回归分析,聚类分析,matlab程序运行时导入数据文件作为输入参数,gmcalab 快速广义的形态分量分析,有PMUSIC 校正前和校正后的比较,虚拟力的无线传感网络覆盖,使用高阶累积量对MPSK信号进行调制识别,数值分析的EULER法。 - The commonly used digital signal modulation based on artificial neural network, Including AHP, factor analysis, regression analysis, cluster analysis, Import data files as input parameters matlab program is running, gmcalab fast generalized form component analysis, A relatively before correction and after correction PMUSIC, Virtual power wireless sensor network coverage, Using high-order cumulants of MPSK signal modulation recognition, EULER numerical analysis method.
Platform: | Size: 9216 | Author: 王西峰 | Hits:

[simulation modelingGRNN处理时间序列

Description: 用广义回归神经网络预测时间序列数据的MATLAB源代码(MATLAB source code for predicting time series data using generalized regression neural network)
Platform: | Size: 14336 | Author: pzj123 | Hits:

CodeBus www.codebus.net