Geometrical Interpretation and Architecture Selection of MLP
Cheng Xiang, Songlin Ding, Teng Hong Lee · IEEE Transactions on Neural Networks · 2005
A geometrical interpretation of the multilayer perceptron (MLP) is suggested in this paper. Some general guidelines for selecting the architecture of the MLP, i.e., the number of the hidden neurons and the hidden layers, are proposed based upon this interpretation and the controversial issue of whether four-layered MLP is superior to the three-layered MLP is also carefully examined.