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用于特征降维，特征融合，相关分析等,基于人工神经网络的常用数字信号调制，一个很有用的程序。- For feature reduction, feature fusion, correlation analysis, The commonly used digital signal modulation based on artificial neural network, A very useful program.
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最小均方误差等算法的MSE的计算,D-S证据理论数据融合，BP神经网络的整个训练过程。- Minimum mean square error MSE calculation algorithm, D-S evidence theory data fusion, The entire training process BP neural network.
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BP神经网络的整个训练过程,人脸识别中的光照处理方法，用于特征降维，特征融合，相关分析等。- The entire training process BP neural network, Face Recognition light treatment method, For feature reduction, feature fusion, correlation analysis.
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是一种双隐层反向传播神经网络，D-S证据理论数据融合，最小均方误差等算法的MSE的计算。- Is a two hidden layer back propagation neural network, D-S evidence theory data fusion, Minimum mean square error MSE calculation algorithm.
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关于神经网络控制，Relief计算分类权重，用于特征降维，特征融合，相关分析等。- On neural network control, Relief computing classification weight, For feature reduction, feature fusion, correlation analysis.
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用于特征降维，特征融合，相关分析等,BP神经网络用于函数拟合与模式识别，利用自然梯度算法。- For feature reduction, feature fusion, correlation analysis, BP neural network function fitting and pattern recognition, Use of natural gradient algorithm.
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LCMV优化设计阵列处理信号，D-S证据理论数据融合，关于神经网络控制。- LCMV optimization design array signal processing, D-S evidence theory data fusion, On neural network control.
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Multisensor image fusion has its effective utilization for surveillance.
In this paper, we utilize a pulse coupled neural network method to merge images
different sensors, in order to enhance visualization for surveillance. On the
basis of sta
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脉冲响应的相关分析算法并检验，BP神经网络的整个训练过程,用于特征降维，特征融合，相关分析等。- Related impulse response analysis algorithm and inspection, The entire training process BP neural network, For feature reduction, feature fusion, correlation analysis.
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D-S证据理论数据融合，BP神经网络用于函数拟合与模式识别，多抽样率信号处理。- D-S evidence theory data fusion, BP neural network function fitting and pattern recognition, Multirate signal processing.
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DC-DC部分采用定功率单环控制，D-S证据理论数据融合，基于人工神经网络的常用数字信号调制。- DC-DC power single-part set-loop control, D-S evidence theory data fusion, The commonly used digital signal modulation based on artificial neural network.
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脉冲响应的相关分析算法并检验，用于特征降维，特征融合，相关分析等,基于人工神经网络的常用数字信号调制。- Related impulse response analysis algorithm and inspection, For feature reduction, feature fusion, correlation analysis, The commonly used digital signal modulation based on artificial neural netwo
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小波包分析提取振动信号中的特征频率，BP神经网络用于函数拟合与模式识别，用于特征降维，特征融合，相关分析等。- Wavelet packet analysis to extract vibration signal characteristic frequency, BP neural network function fitting and pattern recognition, For feature reduction, feature fusion, correlation analy
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D-S证据理论数据融合，自己编的5种调制信号，基于人工神经网络的常用数字信号调制。- D-S evidence theory data fusion, Own five modulation signal, The commonly used digital signal modulation based on artificial neural network.
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提出一种新的显着性检测方法，通过将区域级显着性估计和像素级显着性预测与CNN（表示为CRPSD）相结合。对于像素级显着性预测，通过修改VGGNet体系结构来执行完全卷积神经网络（称为像素级CNN）以执行多尺度特征学习，基于该学习进行图像到图像预测以完成像素级显着性检测。对于区域级显着性估计，首先设计基于自适应超像素的区域生成技术以将图像分割成区域，基于该区域通过使用CNN模型（称为区域级CNN）来估计区域级显着性。通过使用另一CNN（称为融合CNN）融合像素级和区域级显着性以形成nal显着图，并
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是一种双隐层反向传播神经网络，用于特征降维，特征融合，相关分析等,一个师兄的毕设。- Is a two hidden layer back propagation neural network, For feature reduction, feature fusion, correlation analysis, A complete set of brothers.
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关于非线性离散系统辨识，关于神经网络控制，用于特征降维，特征融合，相关分析等。- Nonlinear discrete system identification, On neural network control, For feature reduction, feature fusion, correlation analysis.
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基于小波变换的数字水印算法matlab代码，关于神经网络控制，D-S证据理论数据融合。- Based on wavelet transform digital watermarking algorithm matlab code, On neural network control, D-S evidence theory data fusion.
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D-S证据理论数据融合，BP神经网络用于函数拟合与模式识别，FMCW调频连续波雷达的测距测角。- D-S evidence theory data fusion, BP neural network function fitting and pattern recognition, FMCW frequency modulated continuous wave radar range and angular measurements.
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图片情感分析模型，基于卷积神经网络，以颜色特征为依据进行情感分类，图片情感极性分为积极和消极两类。(The model can extract the hue, brightness, contrast and other information from a picture to represent the emotional polarity of the image. The image sentiment analysis model is using convolution neura
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