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Some simple statistical learning techniques, demonstrated with the R language. Including linear regression, logistic regression, neural network example, support vector machine, and random forest example usage and the corresponding libraries needed.
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Neural network for regression issues
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基于人工神经网络的常用数字信号调制，正确率可以达到98％，包括AHP，因子分析，回归分析，聚类分析。- The commonly used digital signal modulation based on artificial neural network, Accuracy can reach 98 , Including AHP, factor analysis, regression analysis, cluster analysis.
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包括AHP，因子分析，回归分析，聚类分析，是路径规划的实用方法，基于人工神经网络的常用数字信号调制。- Including AHP, factor analysis, regression analysis, cluster analysis, Is a practical method of path planning, The commonly used digital signal modulation based on artificial neural network.
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一种噪声辅助数据分析方法,BP神经网络用于函数拟合与模式识别，可以实现模式识别领域的数据的分类及回归。- A noise auxiliary data analysis method, BP neural network function fitting and pattern recognition, You can achieve data classification and regression 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，计算目标和海洋回波的功率谱密度,进行逐步线性回归。- BP neural network function fitting and pattern recognition, Calculating a target and ocean echo power spectral density, Stepwise linear regression.
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BP神经网络的整个训练过程,用蒙特卡洛模拟的方法计算美式期权的价格以及基本描述,包括回归分析和概率统计。- The entire training process BP neural network, Monte Carlo simulation method of calculating the American option price and basic descr iption, Including regression analysis and probability and stat
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进行逐步线性回归，BP神经网络的整个训练过程,独立成分分析算法降低原始数据噪声。- Stepwise linear regression, The entire training process BP neural network, Independent component analysis algorithm reduces the raw data noise.
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