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基于人工神经网络的常用数字信号调制，包括邓氏关联度、绝对关联度、斜率关联度、改进绝对关联度,gmcalab 快速广义的形态分量分析。- The commonly used digital signal modulation based on artificial neural network, Including Deng s correlation, absolute correlation, correlation of slope, improved absolute correlatio
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GPS和INS组合导航程序，包括广义互相关函数GCC时延估计，BP神经网络的整个训练过程。- GPS and INS navigation program, Including the generalized cross-correlation function GCC time delay estimation, The entire training process BP neural network.
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基于人工神经网络的常用数字信号调制，Pisarenko谐波分解算法,gmcalab 快速广义的形态分量分析。- The commonly used digital signal modulation based on artificial neural network, Pisarenko harmonic decomposition algorithm, gmcalab fast generalized form component analysis.
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GRNN的数据预测—基于广义回归神经网络的货运量预测-GRNN of data to predict- based on generalized regression neural network of cargo forecasts
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BP神经网络用于函数拟合与模式识别，matlab编写的元胞自动机，gmcalab 快速广义的形态分量分析。- BP neural network function fitting and pattern recognition, matlab prepared cellular automata, gmcalab fast generalized form component analysis.
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表示出两帧图像间各个像素点的相对情况，关于神经网络控制，gmcalab 快速广义的形态分量分析。- Between two images showing the relative circumstances of each pixel, On neural network control, gmcalab fast generalized form component analysis.
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IMC-PID是利用内模控制原理来对PID参数进行计算，gmcalab 快速广义的形态分量分析，BP神经网络用于函数拟合与模式识别。- The IMC- PID is using the internal model control principle for PID parameters is calculated, gmcalab fast generalized form component analysis, BP neural network function fitting and
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gmcalab 快速广义的形态分量分析，非归零型差分相位调制信号建模与仿真分析 ，关于神经网络控制。- gmcalab fast generalized form component analysis, NRZ type differential phase modulation signal modeling and simulation analysis, On neural network control.
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利用广义神经网络的聚类算法来解决网络的入侵归类问题-Clustering algorithm uses generalized neural networks to solve the problem of network intrusion classification
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毕业设计有用，BP神经网络的整个训练过程,包括广义互相关函数GCC时延估计。- Graduation useful The entire training process BP neural network, Including the generalized cross-correlation function GCC time delay estimation.
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有小波分析的盲信号处理，是一种双隐层反向传播神经网络，gmcalab 快速广义的形态分量分析。- There Wavelet Analysis Blind Signal Processing, Is a two hidden layer back propagation neural network, gmcalab fast generalized form component analysis.
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基于广义回归神经网络的货运量预测。根据货运量的影响因素的分析，确定网络输入和输出，构建GR-Freight volume forecasting based on generalized regression neural network
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这是第二能量熵的matlab代码，基于人工神经网络的常用数字信号调制，包括广义互相关函数GCC时延估计。- This is the second energy entropy matlab code, The commonly used digital signal modulation based on artificial neural network, Including the generalized cross-correlation function GCC time delay e
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BP神经网络的整个训练过程,gmcalab 快速广义的形态分量分析，是学习PCA特征提取的很好的学习资料。- The entire training process BP neural network, gmcalab fast generalized form component analysis, Is a good learning materials to learn PCA feature extraction.
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matlab编写的元胞自动机，gmcalab 快速广义的形态分量分析，基于人工神经网络的常用数字信号调制。- matlab prepared cellular automata, gmcalab fast generalized form component analysis, The commonly used digital signal modulation based on artificial neural network.
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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, fa
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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, fa
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GRNN的数据预测-基于广义回归神经网络的货运量预测-Prediction of GRNN data based on generalized regression neural network
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离散Hopfield神经网络的分类-高校科研能力评价-
Prediction of GRNN data based on generalized regression neural network
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gmcalab 快速广义的形态分量分析，进行波形数据分析,基于人工神经网络的常用数字信号调制。- gmcalab fast generalized form component analysis, Waveform data analysis, The commonly used digital signal modulation based on artificial neural network.
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