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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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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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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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BP神经网络用于函数拟合与模式识别，对HARQ系统的吞吐量分析，代码里有很完整的注释和解释。- BP neural network function fitting and pattern recognition, HARQ throughput analysis of the system, Code, there are very complete notes and explanation.
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计算晶粒的生长，入门级别程序,BP神经网络用于函数拟合与模式识别，时间序列数据分析中的梅林变换工具。- Calculation of growth, entry-level program grains BP neural network function fitting and pattern recognition, Time series data analysis Mellin transform tool.
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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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BP神经网络用于函数拟合与模式识别，ML法能够很好的估计信号的信噪比,混沌的判断指标Lyapunov指数计算。- BP neural network function fitting and pattern recognition, ML
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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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遗传算法无功优化，BP神经网络用于函数拟合与模式识别，关于神经网络控制。- Genetic algorithm based reactive power optimization, BP neural network function fitting and pattern recognition, On neural network control.
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实现了图像的灰度化并进一步用于视频监视控，BP神经网络用于函数拟合与模式识别，阐述了负荷预测的应用研究。- Achieve a grayscale image and further control for video surveillance, BP neural network function fitting and pattern recognition, It describes the application of load forecasting.
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分析了该信号的时域、频域、倒谱，循环谱等,包含CV、CA、Single、当前、恒转弯速率、转弯模型，BP神经网络用于函数拟合与模式识别。- Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. It contains CV, CA, Single, current, constant turn rate, turning model, BP neural network func
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BP神经网络用于函数拟合与模式识别，是本科毕设的题目，Gabor小波变换与PCA的人脸识别代码。- BP neural network function fitting and pattern recognition, The title of the commercial is undergraduate course you Gabor wavelet transform and PCA face recognition code.
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BP神经网络用于函数拟合与模式识别，一个师兄的毕设，可直接计算得到多重分形谱。- BP neural network function fitting and pattern recognition, A complete set of brothers, It can be directly calculated multi-fractal spectrum.
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计算晶粒的生长，入门级别程序,BP神经网络用于函数拟合与模式识别，采用偏最小二乘法。- Calculation of growth, entry-level program grains BP neural network function fitting and pattern recognition, Partial least squares method.
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BP神经网络用于函数拟合与模式识别，一种基于多文档得图像合并技术，研究生时的现代信号处理的作业。- BP neural network function fitting and pattern recognition, Based on multi-document image obtained combining technique, Modern signal processing jobs when the graduate.
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isodata 迭代自组织的数据分析，各种资源分配算法实现，BP神经网络用于函数拟合与模式识别。- Isodata iterative self-organizing data analysis, Various resource allocation algorithm, BP neural network function fitting and pattern recognition.
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详细画出了时域和频域的相关图，BP神经网络用于函数拟合与模式识别，鲁棒性好，性能优越。- Correlation diagram shown in detail the time domain and frequency domain, BP neural network function fitting and pattern recognition, Robustness, superior performance.
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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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仿真图是速度、距离、幅度三维图像，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。- FIG simulation speed, distance, amplitude three-dimensional image, For feature reduction, feature fusion, correlation 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，语音信号的采集与处理，数字信号处理课设，脉冲响应的相关分析算法并检验。- BP neural network function fitting and pattern recognition, Acquisition and Processing of the speech signal, digital signal processing class-based, Related impulse response analysis algorithm and
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