For improving global searching ability and learning efficiency of fuzzy neural network, put forward the Takagi-Sugeno fuzzy neural network (T-S FNN) improved method. It uses genetic algorithms (GA) to fix the weight and system parameter of T-S FNN with GA’s search function. The model of dynamic deployment of equipment support unit has been constituted and applied with the improved arithmetic, describe the equipment support unit deployment, then the project of dynamic deployment is achieved by training and learning. And carry out comparison and analysis. The results show that the method can enhances adaptability and learning efficiency of T-S FNN and can supply a quick-reference for the assistant decision of dynamic deployment of equipment support unit.