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采用贝叶斯正则化算法提高BP网络的推广能力。在本例中,将采用两种训练方法,即L-M优化算法(trainlm)和贝叶斯正则化算法(trainbr),用以训练BP网络,使其能够拟合某一附加有白噪声的正弦样本数据。-The use of Bayesian regularization algorithm for BP network to improve generalization ability. In this case, two types of training methods will b
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bayesian network structrue learning
matlab program
-bayesian network structrue learningmatlab program
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朴素贝叶斯网络算法的matlab程序实现-Naive Bayesian network algorithm matlab program
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MIT博士生开发的功能极强大的贝叶斯网络工具箱(MATLAB环境下),支持多种参数学习和结构学习算法,内附详细说明-MIT doctoral developed extremely powerful Bayesian Network Toolbox (MATLAB environment) to support a variety of parameter learning and structure learning algorithm, containing a detailed descr
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在demo中,用EKF和有噪声的EKF训练非线性、非平稳数据。-In this demo, I use the EKF and EKF with noise adaptation to train a neural network with data generated a nonlinear, non-stationary state space model. Adaptation is done by matching the innovations ensemble covariance
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BP神经网络用于函数拟合与模式识别,用MATLAB编写的遗传算法路径规划,包括主成分分析、因子分析、贝叶斯分析。- BP neural network function fitting and pattern recognition, Genetic algorithms using MATLAB path planning, Including principal component analysis, factor analysis, Bayesian analysis.
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