摘要
构造一个三层BP神经网络,实现了连续函数的逼近。讨论了函数值在非[0,1]区间时,样本的归一化问题,提出了新的变换关系式,加快了算法的收敛速度。
This paper introduced a three layer BP neural network,and realized the approximation of a continuous function.Based on the above BP neural network,A new transform normalized the function's output are put forward to and the training speed is fastened,which is proved by the result.
出处
《常熟高专学报》
2004年第4期34-37,共4页
Journal of Changshu College