A novel method is described that allows us to study the emergence of
the modular neural network structure through evoliition. A preliminary design of modular neural networks is developed by evolutionary algorithm. The concept of emergence takes an important role in the study of the design of neural networks. The model presented in this paper rnight not only develop new functionality spontaneously but it could also grow and evolve its own structure autonomously. Network architecture emerges from an initial set of randomly connected networks.