fast simulation annealing algorithm 快速模拟退火算法
According to the analysis of simulation results compared with BP algorithm, this algorithm has the advantage of the fine stability, fast convergence speed and high precision.
通过与BP算法的仿真结果比较分析，发现该算法具有稳定性好，收敛速度快，预测精度高的特点。
Meanwhile, we use a fast simulation annealing algorithm in the inversion, which can overcome the limitation of the local extremum of objective function, and acquire a global optimum result.
同时，在具体反演中使用快速模拟退火算法，可以克服目标函数局部极值的限制，从而获得全局最优解。
The simulation and motor control show that the new algorithm has fast learning rate, good convergence properties and can overcome the defects of traditional PID algorithm.
仿真实验及在伺服电机转速控制中的应用表明，该算法具有较快的学习速度及良好的收敛性能，并有效地克服了传统PID算法的缺陷。
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