非线性工程结构对地震激励的动力响应的预测具有明显的实际意义。
Prediction of the dynamic response of non-linear engineering structure to earthquake excitation is of obvious practical significance.
并通过神经网络系统对结构响应进行一步预测，从而进一步提高控制系统的能力。
The ability of the active control system is increased because the response of structure is predicted by the ANN.
应用神经网络预测结构响应可以解决主动控制中的时滞问题，为控制决策提供依据。
Applying neural network to predict structural response may solve the problem of time lag in active control and offer basis for controlling decision.
预测电机的振动和噪声需准确计算电机定子结构的固有频率及定子的响应特性。
Accurate calculation of the stator natural frequencies and harmonic response of an electrical machine is essential to the prediction of acoustic noise and vibration.
以三子结构耦合系统为例进行了实验测量，直接、间接耦合损耗因子和结构振动响应的实验测量值与理论预测结果吻合较好。
The direct and indirect coupling loss factors of a coupled system with three substructures are predicted by using this method, and the measured data agree well with the predicted results.
应用该模型对线性结构和非线性结构在变阻尼控制和外荷载激励下结构的响应进行了数值仿真，表明所提的动态递归神经网络可以达到较高的预测精度。
Simulations on linear and nonlinear structures demonstrate that RDRNN is very effective on predicting the response of a structure subject to semi-active control and external excitation.
我们的实验为深入了解植物群落对环境重要限制因子变化的响应规律以及预测植物群落结构和组成的变化提供了有价值的信息。
Our experiment provided valuable evidences for the studies on change of plant community to ecological factors and provided a predictive tool for community structure and dynamics.
这使得几乎不可能准确预测非线性响应的结构，特别是对混凝土结构。
This makes it almost impossible to exactly predict nonlinear response of the structures, particularly for the concrete structures.
这使得几乎不可能准确预测非线性响应的结构，特别是对混凝土结构。
This makes it almost impossible to exactly predict nonlinear response of the structures, particularly for the concrete structures.
应用推荐