An Improved System Cloud Grey Neural Network Model

摘要

This paper improved and optimized the topology structure of the system cloud grey neural network model (SCGNNM(1,1)) and presented a novel SCGNNM(1,1) based on time response model. Because the dispersed data of time response model can be regarded as the data abstracted from the continued function, the model's precision can be improved greatly. Meantime, the learning algorithm is given. Finally, the proposed model is simulated and shown to be very reliable.