BFGS修正算法在前馈神经元网络学习中的应用

The Application of BFGS Revised Algorithm in Learning Feed Forward Neural Networks

介绍了拟牛顿公式中 BFGS修正算法和 Wolf- Powell不精确线性搜索准则所具有的全局收敛性质 。

BFGS revised algorithm for Quasi Newton formula and Wolf Powell rule without exact linear search is introduced. The requirements for holding global convergence property are proposed. The reason of local optimization for learning multi layer feed forward neural networks is discussed.