本文研究了Orlicz空间中的单隐层神经网络逼近问题,以单隐层神经网络为工具,借助最佳多项式逼近,以构造性的方法研究了单隐层神经网络对Orlicz空间内函数的逼近问题以及稠密性问题.
This paper discussed the problem of approximation for neural networks with single hidden Layer. By neural networks with single hidden Layer and the best polynomial approximation, using structive approach, this paper studied approximation problem in Orlicz space and density problem.