Research & Realization on Neural Network for Forecast of AM Automatic Logistics Information-System
This paper gives research on Neural Network for AM Automatic Logistics information System’s Modeling, Simulation and algorithm, contrasted to traditional methods of forecast. In order to raise the design efficiency and get the most excellent design effect, this paper combined Ant Colony Optimization (ACO) algorithm and neural networks, which based on ACO algorithm and the implementing framework of ACO. It gives the basic theory and steps; which proved research on Neural Network for AM Automatic Logistics information-System has good ability of non-linear function’s approach and latent feedback’s dynamic data processing, study online time short, parameter convergence swift, self-adapt ability good, can study and adapt to severity uncertainly dynamic system’s tract, forecast precision is high.
Zhengyi Jiang and Chunliang Zhang
W. Wei and C. Z. Song, "Research & Realization on Neural Network for Forecast of AM Automatic Logistics Information-System", Advanced Materials Research, Vols. 97-101, pp. 2845-2850, 2010