关键词: 神经网络, 网络结构, λ -递增函数, Sigmoid函数

Abstract: How to determine the structure of a neural network is often an aporia in theoretical research and practical application.Based on the recent research of Vugar E.Ismailov,this paper study the learning method of sample points in neural network.The results show that with theλ -strictly increasing function,any specified sample set can be learnt by using only two neurons in hidden layer.The differences between using the usual Sigmoid function andλ -strictly increasing function as active function in the hidden layer are presented as well.

Key words: Neural network, Neural network structure, λ -increasing function, Sigmoid function