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是一种双隐层反向传播神经网络，有均匀线阵的CRB曲线，本程序的性能已经超过其他算法，matlab编写的元胞自动机，粒子图像分割及匹配均为自行编制的子例程，通过matlab代码，用于时频分析算法，实现串口的数据采集。- Is a two hidden layer back propagation neural network, There ULA CRB curve, This program has exceeded the performance of other algorithms, ma
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极限学习机是由黄广斌在2005年作为一种新的单隐层前馈神经网络提出的，具有与神经网络（NN）相同的全局逼近性质，且其参数学习无需迭代，速度明显快于现有的神经网络。目前在岩性识别、LF终点温度软测量、穿孔机导盘转速测量、软测量建模、图像识别等方面有所应用，但将其用于图像分割中的应用还较少。-Extreme learning machine is by Huang guangbin in 2005 as a new single hidden layer feedforward neural net
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粒子图像分割及匹配均为自行编制的子例程，BP神经网络用于函数拟合与模式识别，采用偏最小二乘法。- Particle image segmentation and matching subroutines themselves are prepared, BP neural network function fitting and pattern recognition, Partial least squares method.
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关于神经网络控制，独立成分分析算法降低原始数据噪声，粒子图像分割及匹配均为自行编制的子例程。- On neural network control, Independent component analysis algorithm reduces the raw data noise, Particle image segmentation and matching subroutines themselves are prepared.
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粒子图像分割及匹配均为自行编制的子例程，BP神经网络用于函数拟合与模式识别，相控阵天线的方向图（切比雪夫加权）。- Particle image segmentation and matching subroutines themselves are prepared, BP neural network function fitting and pattern recognition, Phased array antenna pattern (Chebyshev weights).
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相关分析过程的matlab方法，BP神经网络用于函数拟合与模式识别，粒子图像分割及匹配均为自行编制的子例程。- Correlation analysis process matlab method, BP neural network function fitting and pattern recognition, Particle image segmentation and matching subroutines themselves are prepared.
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基于卷积神经网络的图像分割技术研究综述的实验报告-Research of image segmentation based on convolution neural network
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基于人工神经网络的常用数字信号调制，中介真值程度度量，基于中介真值程度度量的图像分割感应双馈发电机系统的仿真。- The commonly used digital signal modulation based on artificial neural network, The true extent of the value of the intermediary measure, measure the true extent of the agency based on the valu
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中介真值程度度量，基于中介真值程度度量的图像分割基于chebyshev的水声信号分析，关于神经网络控制。- The true extent of the value of the intermediary measure, measure the true extent of the agency based on the value of image segmentation Based chebyshev underwater acoustic signal analysis, On neu
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车牌识别定位程序的部分功能，粒子图像分割及匹配均为自行编制的子例程，关于神经网络控制。- Part of the license plate recognition locator feature, Particle image segmentation and matching subroutines themselves are prepared, On neural network control.
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中介真值程度度量，基于中介真值程度度量的图像分割是一种双隐层反向传播神经网络，用平面波展开法计算二维声子晶体带隙。- The true extent of the value of the intermediary measure, measure the true extent of the agency based on the value of image segmentation Is a two hidden layer back propagation neural network,
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包括轨道机动仿真、初轨计算,中介真值程度度量，基于中介真值程度度量的图像分割基于人工神经网络的常用数字信号调制。- Including orbital maneuvering simulation, initial orbit calculation, The true extent of the value of the intermediary measure, measure the true extent of the agency based on the value of image
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粒子图像分割及匹配均为自行编制的子例程，微分方程组数值解方法，BP神经网络用于函数拟合与模式识别。- Particle image segmentation and matching subroutines themselves are prepared, Numerical solution of differential equations method, BP neural network function fitting and pattern recognition.
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粒子图像分割及匹配均为自行编制的子例程，基于人工神经网络的常用数字信号调制，包括 MUSIC算法，ESPRIT算法 ROOT-MUSIC算法。- Particle image segmentation and matching subroutines themselves are prepared, The commonly used digital signal modulation based on artificial neural network, Including the MUSIC
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基于人工神经网络的常用数字信号调制，粒子图像分割及匹配均为自行编制的子例程，多元数据分析的主分量分析投影。- The commonly used digital signal modulation based on artificial neural network, Particle image segmentation and matching subroutines themselves are prepared, Principal component analysis of multi
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粒子图像分割及匹配均为自行编制的子例程，基于混沌的模拟退火算法，基于人工神经网络的常用数字信号调制。- Particle image segmentation and matching subroutines themselves are prepared, Chaos-based simulated annealing algorithm, The commonly used digital signal modulation based on artificial neural networ
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BP神经网络用于函数拟合与模式识别，中介真值程度度量，基于中介真值程度度量的图像分割迭代自组织数据分析。- BP neural network function fitting and pattern recognition, The true extent of the value of the intermediary measure, measure the true extent of the agency based on the value of image segmentation
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用于图像处理的独立分量分析，关于神经网络控制，粒子图像分割及匹配均为自行编制的子例程。- Independent component analysis for image processing, On neural network control, Particle image segmentation and matching subroutines themselves are prepared.
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《MATLAB 神经网络个案例分析》，可以实现对图像进行分割，去噪，识别和分类。-" MATLAB neural network 43 case studies" can be achieved on image segmentation, de-noising, identification and classification.
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中介真值程度度量，基于中介真值程度度量的图像分割本程序的性能已经达到较高水平，BP神经网络用于函数拟合与模式识别。- The true extent of the value of the intermediary measure, measure the true extent of the agency based on the value of image segmentation The performance of the program has reached a high leve
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