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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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粒子图像分割及匹配均为自行编制的子例程，混沌的判断指标Lyapunov指数计算,是一种双隐层反向传播神经网络。- Particle image segmentation and matching subroutines themselves are prepared, Chaos indicator for Lyapunov index calculation, Is a two hidden layer back propagation neural network.
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1.先打开一幅图片然后按照顺序灰度化、二值化、灰度拉伸、车牌定位、二值化、倾斜校正、字符分割、训练神经网络、识别字符。
2.测试图像存储在当前目录的img下。
3.测试集、训练集、目标向量均存储在img下的文本文件中。(1. First open a picture and then follow the sequence of grayscale, binary, grayscale stretching, license plate positioning, binarization, ti
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这是基于脉冲耦合神经网络的图像分割，提供给大家方便学习(This is based on pulse coupled neural network image segmentation, to provide you with convenient learning)
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一种新型的脉冲耦合神经网络，利用其图像直方图进行图像分割处理(A new type of pulse coupled neural network, using its image histogram for image segmentation)
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利用脉冲耦合神经网络进行图像分割并求其二维熵(Image segmentation based on pulse coupled neural network and its two-dimensional entropy)
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将理论知识、科学研究和工程实践有机结合起来，内容涉及数字图像处理和识别技术的方方面面，包括图像的点运算、几何变换、空域和频域滤波、小波变换、图像复原、形态学处理、图像分割以及图像特征提取的相关内容；同时对于机器视觉进行了前导性的探究，重点介绍了两种目前在工程技术领域非常流行的分类技术——人工神经网络（ANN）和支持向量机（SVM），并在人脸识别这样的热点问题中结束《精通Matlab数字图像处理与识别》。(Combining theoretical knowledge, scientific re
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