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neural network相关的网络例句

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与 neural network 相关的网络例句 [注:此内容来源于网络,仅供参考]

To improve the accuracy of condition prediction for thousand-meters scale cable-stayed bridge under the influences of indeterminate factors such as measurement noise and initial component error during the construction process, a condition prediction method based on evidence theory and grey-neural-network model was proposed.

为解决千米级斜拉桥在施工过程中由于观测噪声及初始构件误差等因素影响下的结构响应预测问题,提出了D-S证据理论与灰色神经网络结合的混合识别方法。

The error equation of the fault observer is constructed based on a neural network prediction. The stability condition of this observer is proved.

在此基础上,建立了基于神经网络预侧的故障观测器误差方程,并证明了该观测器稳定的条件。

According to the Lyapunov stability theory, the weight update law of neural network, the adaptive law of error bound and the feedback control are obtained, thus the stability of closed-loop control system is ensured.

基于Lyapunov稳定性理论,得到了神经网络的权值更新律、误差界自适应律及反馈控制律,确保了闭环控制系统的稳定性。

According to the Lyapunov stability theory, the weight update law of neural network, the adaptive law of error bound, the stabilizing function and the control are obtained, thus the stability of closed-loop control system is ensured.

基于Lyapunov稳定性理论,得到了神经网络的权值更新律、误差界自适应律、稳定函数及控制律,确保了闭环控制系统的稳定性。

Training results show that the RBF neural network can receive smaller mean square error within shorter time.

训练的结果表明RBF神经网络可以在更短的训练时间内,获得更小的均方误差。

Then a corresponding artificial neural network structure to identify the parameters of error model is established.

最后,通过建立的误差模型实现了对转向误差的自校正。

Artificial neural network is used to Error prediction model for machine system.

针对人工神经网络在小样本时的过学习问题,提出了基于支持向量机的误差预测建模方法。

Using the same training data the error estimation of the neural network model can be realized by means of GCV.

网络可靠性计算是 NP问题,计算量随着网络结构的扩展而迅速增长。

In the last part of this paper, equipment model of etch is established by neural network toolbox in Matlab.

论文的第三部分建立了刻蚀机的设备模型,并且使用matlab中的神经网络工具箱模拟了硅片表面的刻蚀工艺结果。

Generalized regression neural network ; eugenic evolution ; genetic algorithm ; delayed coking ; non-linear modeling

广义回归神经网络;优进策略;遗传算法;延迟焦化;非线性建模

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这两个团体间的分歧难以掩饰。

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