摘要
文章在大量实验的基础上 ,对 BP算法中存在学习收敛速度慢的问题进行了广泛的研究 ,提出了在优化权初值的基础上 ,将变步长法与模拟退火法相结合 ,实现一种快速的综合全局寻优的前馈神经网络学习算法。通过在系统建模中的应用 。
Based on a lot of experiments, the slow convergence of BP algorithm is deeply researched. For realizing a fast global optimization of forward network training, the variable step method is combined with simulated annealing (SA) method based on optimizing initial weights. The new algorithm is applied in system modeling,which shows that the suggested algorithm has fast convergence and high precision.
出处
《合肥工业大学学报（自然科学版）》
CAS
CSCD
2000年第6期992-995,共4页
Journal of Hefei University of Technology：Natural Science
