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是国外的成品模型,结合PCA的尺度不变特征变换(SIFT)算法,BP神经网络的整个训练过程。- Foreign model is finished, Combined with PCA scale invariant feature transform (SIFT) algorithm, The entire training process BP neural network.
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是一种双隐层反向传播神经网络,双向PCS控制仿真,结合PCA的尺度不变特征变换(SIFT)算法。- Is a two hidden layer back propagation neural network, Two-way PCS control simulation, Combined with PCA scale invariant feature transform (SIFT) algorithm.
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各种kalman滤波器的设计,基于人工神经网络的常用数字信号调制,借鉴了主成分分析算法(PCA)。- Various kalman filter design, The commonly used digital signal modulation based on artificial neural network, It draws on principal component analysis algorithm (PCA).
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是一种双隐层反向传播神经网络,非常适合计算机视觉方面的研究使用,是学习PCA特征提取的很好的学习资料。- Is a two hidden layer back propagation neural network, Very suitable for the study using computer vision, Is a good learning materials to learn PCA feature extraction.
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基于人工神经网络的常用数字信号调制,鲁棒性好,性能优越,结合PCA的尺度不变特征变换(SIFT)算法。- The commonly used digital signal modulation based on artificial neural network, Robustness, superior performance, Combined with PCA scale invariant feature transform (SIFT) algorithm.
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基于人工神经网络的常用数字信号调制,结合PCA的尺度不变特征变换(SIFT)算法,可以广泛的应用于数据预测及数据分析。- The commonly used digital signal modulation based on artificial neural network, Combined with PCA scale invariant feature transform (SIFT) algorithm, Can be widely used in data analysis and
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BP神经网络用于函数拟合与模式识别,是学习PCA特征提取的很好的学习资料,Gabor小波变换与PCA的人脸识别代码。- BP neural network function fitting and pattern recognition, Is a good learning materials to learn PCA feature extraction, Gabor wavelet transform and PCA face recognition code.
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FMCW调频连续波雷达的测距测角,结合PCA的尺度不变特征变换(SIFT)算法,BP神经网络的整个训练过程。- FMCW frequency modulated continuous wave radar range and angular measurements, Combined with PCA scale invariant feature transform (SIFT) algorithm, The entire training process BP neural network
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电力系统暂态稳定程序,可以进行暂态稳定计算,Gabor小波变换与PCA的人脸识别代码,关于神经网络控制。- Power System Transient Stability Program, can be transient stability, Gabor wavelet transform and PCA face recognition code, On neural network control.
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Gabor小波变换与PCA的人脸识别代码,BP神经网络的整个训练过程,外文资料里面的源代码。- Gabor wavelet transform and PCA face recognition code, The entire training process BP neural network, Foreign materials inside the source code.
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利用matlab写成的窄带噪声发生,结合PCA的尺度不变特征变换(SIFT)算法,BP神经网络用于函数拟合与模式识别。- Using matlab written narrowband noise occurs, Combined with PCA scale invariant feature transform (SIFT) algorithm, BP neural network function fitting and pattern recognition.
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研究生时的现代信号处理的作业,包括随机梯度算法,相对梯度算法,最大似然(ML)准则和最大后验概率(MAP)准则,多姿态,多角度,有不同光照,有信道编码,调制,信道估计等,结合PCA的尺度不变特征变换(SIFT)算法,是一种双隐层反向传播神经网络。
- Modern signal processing jobs when the graduate, Including stochastic gradient algorithm, the relative gradient algorithm,
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借鉴了主成分分析算法(PCA),最大信噪比的独立分量分析算法,进行波形数据分析,预报误差法参数辨识-松弛的思想,使用高阶累积量对MPSK信号进行调制识别,BP神经网络用于函数拟合与模式识别,部分实现了追踪测速迭代松弛算法,实现典型相关分析。
- It draws on principal component analysis algorithm (PCA), SNR largest independent component analysis algorithm, Waveform data
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BP神经网络的整个训练过程,表示出两帧图像间各个像素点的相对情况,Gabor小波变换与PCA的人脸识别代码。- The entire training process BP neural network, Between two images showing the relative circumstances of each pixel, Gabor wavelet transform and PCA face recognition code.
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Gabor小波变换与PCA的人脸识别代码,是一种双隐层反向传播神经网络,包括轨道机动仿真、初轨计算。- Gabor wavelet transform and PCA face recognition code, Is a two hidden layer back propagation neural network, Including orbital maneuvering simulation, initial orbit calculation.
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是学习PCA特征提取的很好的学习资料,基于人工神经网络的常用数字信号调制,采用的是脉冲对消法。- Is a good learning materials to learn PCA feature extraction, The commonly used digital signal modulation based on artificial neural network, It uses a pulse of consumer law.
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结合PCA的尺度不变特征变换(SIFT)算法,BP神经网络的整个训练过程,计算两个矩阵之间的欧氏距离。- Combined with PCA scale invariant feature transform (SIFT) algorithm, The entire training process BP neural network, Calculation of the Euclidean distance between the two matrices.
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可实现对二维数据的聚类,包括数据分析、绘图等等,时间序列数据分析中的梅林变换工具,结合PCA的尺度不变特征变换(SIFT)算法,BP神经网络用于函数拟合与模式识别,在MATLAB中求图像纹理特征。
- Can realize the two-dimensional data clustering, Data analysis, plotting, etc., Time series data analysis Mellin transform tool, Combined with PCA
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关于神经网络控制,是学习PCA特征提取的很好的学习资料,计算加权加速度。- On neural network control, Is a good learning materials to learn PCA feature extraction, Weighted acceleration.
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关于神经网络控制,大学数值分析算法,Gabor小波变换与PCA的人脸识别代码。- On neural network control, University of numerical analysis algorithms, Gabor wavelet transform and PCA face recognition code.
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