摘要
利用矩阵MoorePenrose逆的方法,提出了一种新型的前馈多层神经网络学习算法———MBP(MatrixBP)算法。该算法采用了群体搜索的策略,打破了BP算法一次一点的搜索方式,一次可搜索权空间中一个超平面。仿真结果表明,该算法在提高收敛速度和避免陷入局部极小点方面都有一定的进展。
A new algorithm for forward neural networks——MBP algorithm is put forward on the basis of Moore Penrose inverse,in which group searching method is used and a superplane in weight space,not a point,can be searched at a time.The simulation result shows that the algorithm has some progress on the fast convergence and efficient avoidance to be the local minimum.
出处
《重庆大学学报(自然科学版)》
EI
CAS
CSCD
1998年第6期100-103,共4页
Journal of Chongqing University