Research & Realization on Neural Network for Forecast of AM Automatic Logistics Information-System

Abstract:

Article Preview

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.

Info:

Periodical:

Advanced Materials Research (Volumes 97-101)

Edited by:

Zhengyi Jiang and Chunliang Zhang

Pages:

2845-2850

DOI:

10.4028/www.scientific.net/AMR.97-101.2845

Citation:

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

Online since:

March 2010

Export:

Price:

$35.00

In order to see related information, you need to Login.

In order to see related information, you need to Login.