A new method was represented to model dynamic linear regression system driven by data, in which a bayesian network was combined with the RBF neural network.
结合贝叶斯网络和神经网络，提出了一种建立数据驱动型的动态线性回归系统模型的方法。
The results of computer simulation show that Bayesian high-resolution method has better performance than other methods in both uniform linear array and circular array.
本文研究了利用贝叶斯高分辨方法解决相干源的问题，分别对均匀线列阵和圆形阵中的相干源问题进行了计算机仿真，并将贝叶斯方法和其它方法进行比较。
The results of computer simulation show that Bayesian high-resolution method has better performance than other methods in both uniform linear array and circular array.
本文研究了利用贝叶斯高分辨方法解决相干源的问题，分别对均匀线列阵和圆形阵中的相干源问题进行了计算机仿真，并将贝叶斯方法和其它方法进行比较。
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