A RECENT SURVEY OF NEURAL NETWORK ARCHITECTURE DESIGN
Yugeng Xi · 1996
Designing neural network architecture is an interesting and tough task, this paper reviews recent researches in this area. First we analysis four criteria while designing neural network topology : minimizing the function approximation error, complexity, generalization and fault tolerance. After that, we give a detailed discussion of three designing methods, namely constructive algorithms, destructive algorithms and evolutionary algorithms. Finally suggestions for further research are presented.