摘要
In this paper,a new architecture of single output multilayered feedforward neural networks array and a learning algorithm based this architecture are proposed. This architecture can be used to re-place of a multiple outputs multilayered feedforward neural networks. Theoretical analyses show this mothed outperforms the traditional multiple outputs multilayered feedforward neural networks.
In this paper,a new architecture of single output multilayered feedforward neural networks array and a learning algorithm based this architecture are proposed. This architecture can be used to replace of a multiple outputs multilayered feedforward neural networks. Theoretical analyses show this mothed outperforms the traditional multiple outputs multilayered feedforward neural networks.
出处
《计算机科学》
CSCD
北大核心
2001年第10期61-63,18,共4页
Computer Science
