基于贝叶斯证据框架下的最小二乘小波支持向量机，设计了一种新型模拟电路故障诊断方法。
Based on least squares wavelet support vector machines (LS-WSVM) within the Bayesian evidence framework, a systematic method for fault diagnosis of analog circuits was proposed.
通过蒙特卡罗模拟和实例表明多层贝叶斯估计比最大似然估计更加有效。
It is seen that hierarchical Bayesian estimation is more efficient than maximum likelihood estimation through Monte Carlo simulation and an example.
我介绍了一个系统的方法应用贝叶斯统计推论和最大熵来处理量子蒙特卡罗模拟所得到连续虚时间的数据。
We present a systematical way to use Bayesian statistical inference and the maximum entropy to deal with the data obtained by the continue imaginary-time QMC simulations.
我的主要工作是把粒子滤波算法引人到非线性贝叶斯动态模型中来，对非线性模型进行了模拟。
My main work is applying the particle filter algorithm to random simulate the non-linear Bayesian dynamic models.
方法运用实例和模拟数据说明传统方法灵敏度和特异度的有偏估计，并运用最大似然估计和贝叶斯估计对灵敏度和特异度进行校正。
MethodsComparing the estimate of sensitivity and specificity by traditional, frequency and Bayesian method. The estimators are illustrated using data from reviewing issues and simulating the data.
采用贝叶斯指示条件模拟和序贯高斯模拟方法结合建立储层参数模型，很好地预测了储层非均质性展布。
With the combination of Bayes Indicator Conditional Simulation method and Sequential Gaussin Simulation method, the distribution of reservoir heterogeneity has been predicted.
在控制系统中，将贝叶斯概率引入到模糊rbf神经网络中，增强了系统的推理能力，提高了飞机各个航道位置的模拟伺服精度。
In the control system, Bayes probability is introduced in the fuzzy RBF neural network and it intensity the inference ability and increase the servo precision.
在控制系统中，将贝叶斯概率引入到模糊rbf神经网络中，增强了系统的推理能力，提高了飞机各个航道位置的模拟伺服精度。
In the control system, Bayes probability is introduced in the fuzzy RBF neural network and it intensity the inference ability and increase the servo precision.
应用推荐