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结果很好

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The present data provide a useful experimental model for further studying microcircuit properties in S1 cortex at the network level in vitro .

本结果为进一步在体外神经网络水平研究S1区的神经回路特性提供了很好的实验模型。

Comparison of the phenomenological model predictions with micromechanics modeling results shows that the developed phenomenological model is reliable.

模型验证的结果表明,所提出的唯象模型对于多孔材料在在比例加载情况下的响应具有很好的描述能力。

In the end, the simulation results of the scattered field by sphere are given which has a good comparability by comparing with micromethod.

然后运用基于方位模 m 的独立方程求得散射场系数。最后以球形粒子为例得到散射场的仿真结果与用微元法有很好的吻合。

This study showed that RBC′s E and μm increased after the treatment with neuraminidase. It confirmed that the new ektacytometry had a good sensitivity in measuring E and μm because its results were close to the results reported in the foreign articles and measured by micropipette and flow channel. Since this method is convenient and cheap, it will have a wide range of application.

因此有力地证明了神经氨酸酶对红细胞作用后使其膜剪切弹性模量增大,表面粘度增大,同时也体现了新型激光衍射法在测量红细胞膜的剪切弹性模量和表面粘度时有很好的灵敏性,它与国外文献所报道的微吸管法和流室法测得的结果相近,但操作方便,省时、省力、造价低,因此具有更广泛的应用范围。

The results can explain the general morphology of ionospheric storm at midlatitude, and demonstrate the usefulness of our model.

这些结果可以很好地解释前面形态分析中的基本结论和实际观测事实。

Experimental results on simulated and real hyperspectral data demonstrate that the proposed approach can overcome the shortcoming of local minima, and obtain better results.

模拟和实际数据实验结果表明,本文提出的算法能够很好地克服局部极小的问题,从而得到更优的解。

Secondly, contraposes the limitation of the traditional harmonic current detecting method based on neural network, presents the method that combines the neural network and auto adaptive harmonic current detecting method based on the principle of noise each other eliminating.As the characteristics that are small calculative quantity, fast converge, without local minimal point of Redial Basis Function, this dissertation forms a new harmonic current detecting method based on RBF.

其次,针对传统的谐波电流检测方法的缺陷,提出将神经网络与基于噪声抵消原理的自适应谐波检测相结合,利用径向基函数运算量小、收敛快、无局部极小值等优点,构造了一种基于径向基函数神经网络的谐波电流检测方法,仿真结果表明该检测方法具有很好的动态响应及畸变电流检测精度。

Simulation results show that AC servo system based on proposed mixed control strategy can satisfy the systems need of speediness、Stability and robustness preferably.

仿真结果表明,应用本文所设计的RBF神经网络与PID复合控制器能获得较高的动态和稳态性能,并对参数变化和负载扰动具有良好的鲁棒性,可很好地满足系统的高性能指标要求。

In further simulation, the results show that this algorithm is able to solve the mixing problem of video signals perfectly. The image of the transferred video signals, decompressed by XVID, is nearly consistent with the source ones. Besides, the new method meets the requirement on real-time video communication.

仿真结果还表明,该算法可以很好地解决视频信号的混叠问题,视频信号由XVID解压后的图像与原先一致,同时满足视频传输的实时性要求。

This correlation was used to substitute the MMD model of TES method. Then emissivity was inverted...

结果表明:反演所得发射率与实验室光谱在形状上具有很好的一致性,利用发射率谱结合地表亮温信息进行植被分类是可能的。

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