Simulation also allows the evolution of robotics control systems, which depend on random permutations of the control system over many generations (as demonstrated by genetic algorithms).
仿真还可以允许对机器人控制系统进行革新，这依赖于很多代控制系统的随机排列（遗传算法可以证实这一点）。
This paper brings the fuzzy neural network algorithms into the call admission control in ATM networks. The simulation result shows that it has better effect than usual algorithms.
本文采用模糊神经网络算法对AT M网络进行连接接纳控制，仿真结果表明它比传统的算法有更好的效果。
By using the simulation software ADAMS, the performance of manipulator which employing the designed control algorithms and the selected path planning method has been discussed.
借助机械系统动力学仿真分析软件ADAMS，探讨了在计算力矩、模糊变结构控制策略和所遴选的轨迹规划方法下，机械手的控制效果。
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