Recursive prediction error algorithm 递推预报误差算法
recurrent prediction error algorithm 递推预报误差算法
recursive prediction error algorithm rpe 递推预报误差算法
A recursive prediction error algorithm which converges fast is applied to tra.
采用了收敛速度较快的递推预报误差算法训练神经网络。
Through comparing their sums of squared error, it was concluded that prediction error algorithm-based OE model has the best precision.
通过误差平方和的比较，确定利用基于输出误差（OE）模型的预报误差法所建立的模型的精度最高。
To overcome the slow convergence of the BP algorithm, recursive prediction error algorithm is proposed, which can train both the weight and the bias.
本文介绍了动态对角递归网络，并针对BP算法收敛慢的缺点，将递推预报误差学习算法应用到神经网络权值和域值的训练。
应用推荐