The simulation results are presented to demonstrate that the model of an unknown nonlinear dynamical system is built with the multilayered feedforward neural network model.
仿真实例进一步表明，采用神经网络建立未知非线性动态系统的在线模型具有可行性。
Computer simulation results on a practical engineering design problem are presented to demonstrate the efficiency and robustness of the proposed algorithm.
实际算例表明，改进算法的计算效率和可靠性均优于原算法，可广泛推广应用于实际电磁装置的优化设计。
The theoretical analysis, simulation and experimental results presented demonstrate the validity of the principle.
给出了理论分析、计算机模拟以及实验研究结果。
Finally, mesh examples and simulation results are presented to demonstrate the capabilities of the new algorithm.
最后通过网格及数值模拟实例验证了算法性能和实用性。
Finally, mesh examples and simulation results are presented to demonstrate the capabilities of the new algorithm.
最后通过网格及数值模拟实例验证了算法性能和实用性。
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