Experiment shows that acutance function method is better than mean square error function method. The error factors are analyzed and corresponding improvement approaches are put forward.
2
研究结果表明,在样本分布和量化级数不变时,泛化均方差和学习均方差是权调整率的非增函数。
Research results indicate that generalization ability and learning accuracy are the non decreasing function of weight adjusting ratio.
3
利用最小均方差来调整网络的权值,使径向基函数快速收敛,获得较佳pid控制参数,达到对转速跟随控制。
The weights of network adjusted by using the least mean square made fast convergence of radial basis function to obtain better PID control parameters and achieve the speed tracked control.