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EEG signals classification using the K-means clustering and a multilayer perceptron neural network model
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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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计算目标和海洋回波的功率谱密度,BP神经网络的整个训练过程,基于K均值的PSO聚类算法。- Calculating a target and ocean echo power spectral density, The entire training process BP neural network, K-means clustering algorithm based on the PSO.
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In this post, we are going to share with you, the MATLAB implementation of Color Quantization and Color Reduction of images, using intelligent clustering approaches: (a) k-Means Algorithm, (b) Fuzzy c-Means Clustering (FCM), and (c) Self-Organizing M
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有PMUSIC 校正前和校正后的比较，BP神经网络用于函数拟合与模式识别，可实现对二维数据的聚类。- A relatively before correction and after correction PMUSIC, BP neural network function fitting and pattern recognition, Can realize the two-dimensional data clustering.
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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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基于K均值的PSO聚类算法,分形维数计算的毯子算法matlab代码,关于神经网络控制。- K-means clustering algorithm based on the PSO, Fractal dimension calculation algorithm matlab code blankets, On neural network control.
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BP神经网络的整个训练过程,可实现对二维数据的聚类，使用大量的有限元法求解偏微分方程。- The entire training process BP neural network, Can realize the two-dimensional data clustering, Using a large number of finite element method to solve partial differential equations.
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基于人工神经网络的常用数字信号调制，基于混沌的模拟退火算法，可实现对二维数据的聚类。- The commonly used digital signal modulation based on artificial neural network, Chaos-based simulated annealing algorithm, Can realize the two-dimensional data clustering.
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