Coordination strategies learning of soccer robot based on self-organizing and LVQ NN

Soccer-robot system now has been an important experiment platform for artificial intelligence application technology.The key point of the system is the decision-making subsystem.This paper focuses on coordination strategies learning in robot soccer,self-organizing and learning vector quantization neural networks.A new improved method of coordination strategies is presented in this paper.It is obvious to improve the quality of network training by reforming the NN weight-matrix.The result of simulation experiment indicates that the proposed method is suitable and effective.