Using the macroscopic nonlinear polarization model, we discussed in detail the dynamic evolution behaviors of opt ioal field in coherent driving intraoavity second-harmonic generation (ISHG).
本文利用宏观非线性极化模型，分析了相干驱动内腔二次谐波过程中光场的动力学演化行为。
By analyzing the freeway macroscopic dynamic traffic flow model, the paper presents a neural network model for traffic flow.
通过对高速公路宏观动态交通流模型的分析，提出了动态交通流的神经网络模型。
On the basis of macroscopic dynamic traffic flow model which is frequently used in traffic control, Radial basis Function (RBF) neural network is designed.
根据常用的高速公路交通流宏观动态模型，建立了高速公路交通流的RBF神经网络模型。
On the basis of macroscopic dynamic traffic flow model which is frequently used in traffic control, Radial basis Function (RBF) neural network is designed.
根据常用的高速公路交通流宏观动态模型，建立了高速公路交通流的RBF神经网络模型。
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