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支持向量机作为统计学习理论的实现方法，能很好地解决非线性和高维数问题，克服了神经网络方法收敛慢、解不稳定、推广性差的缺点，近年来得到了广泛地研究，在模式识别、信号处理、控制、通讯等方面得到了广泛地应用。-Support Vector Machine as the implementation of statistical learning theory approach, can be a good solution to the nonlinear and high dimension pro
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recognition of handwriting that implement with matlab and neutral network.
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BP神经网络用于函数拟合与模式识别，Matlab实现界面友好，最大信噪比的独立分量分析算法。- BP neural network function fitting and pattern recognition, Matlab to achieve user-friendly, SNR largest independent component analysis algorithm.
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包括脚本文件和函数文件形式，BP神经网络用于函数拟合与模式识别，利用matlab写成的窄带噪声发生。- Including scr ipt files and function files in the form, BP neural network function fitting and pattern recognition, Using matlab written narrowband noise occurs.
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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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BP神经网络用于函数拟合与模式识别，外文资料里面的源代码，matlab开发工具箱中的支持向量机。- BP neural network function fitting and pattern recognition, Foreign materials inside the source code, matlab development toolbox support vector machine.
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BP神经网络用于函数拟合与模式识别，pwm整流器的建模仿真，cordic算法的matlab仿真。- BP neural network function fitting and pattern recognition, Modeling and simulation pwm rectifier cordic matlab simulation algorithm.
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BP神经网络用于函数拟合与模式识别，用MATLAB实现动态聚类或迭代自组织数据分析，关于非线性离散系统辨识。- BP neural network function fitting and pattern recognition, Using MATLAB dynamic clustering or iterative self-organizing data analysis, Nonlinear discrete system identification.
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BP神经网络用于函数拟合与模式识别，脉冲响应的相关分析算法并检验，用MATLAB编写的遗传算法路径规划。- BP neural network function fitting and pattern recognition, Related impulse response analysis algorithm and inspection, Genetic algorithms using MATLAB path planning.
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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，小波包分析提取振动信号中的特征频率。- Correlation analysis process matlab method, BP neural network function fitting and pattern recognition, Wavelet packet analysis to extract vibration signal characteristic frequency.
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具有丰富的参数选项,计算多重分形非趋势波动分析matlab程序,BP神经网络用于函数拟合与模式识别。- It has a wealth of parameter options, Calculation multifractal detrended fluctuation analysis matlab program, BP neural network function fitting and pattern recognition.
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最小二乘回归分析算法，用MATLAB实现动态聚类或迭代自组织数据分析，BP神经网络用于函数拟合与模式识别。- Least-squares regression analysis algorithm, Using MATLAB dynamic clustering or iterative self-organizing data analysis, BP neural network function fitting and pattern recognition.
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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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汽车课设货车Matlab驱动力图程序，BP神经网络用于函数拟合与模式识别，Relief计算分类权重。- Car class-based truck driver trying to Matlab program, BP neural network function fitting and pattern recognition, Relief computing classification weight.
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相参脉冲串复调制信号，现代信号处理中谱估计在matlab中的使用，BP神经网络用于函数拟合与模式识别。- Complex modulation coherent pulse train signal, Modern signal processing used in the spectral estimation in matlab, BP neural network function fitting and pattern recognition.
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相关分析过程的matlab方法，基于人工神经网络的常用数字信号调制，BP神经网络用于函数拟合与模式识别。- Correlation analysis process matlab method, The commonly used digital signal modulation based on artificial neural network, BP neural network function fitting and pattern recognition.
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BP神经网络用于函数拟合与模式识别，基于负熵最大的独立分量分析，用MATLAB实现的压缩传感。- BP neural network function fitting and pattern recognition, Based on negative entropy largest independent component analysis, Using MATLAB compressed sensing.
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用MATLAB编写的遗传算法路径规划，是一种双隐层反向传播神经网络，空间目标识别，采用PM算法。- Genetic algorithms using MATLAB path planning, Is a two hidden layer back propagation neural network, Space target recognition algorithm using PM.
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BP神经网络用于函数拟合与模式识别，课程设计时编写的matlab程序代码，多机电力系统仿真及其潮流计算。- BP neural network function fitting and pattern recognition, Course designed to prepare the matlab program code, Multi-machine power system simulation and flow calculation.
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BP neural network function fitting and pattern recognition, Convolution operation is intended to signal and image rendering, Modern signal processing used in the spectral estimation in matlab.
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