Neural network approach for the real time control of a FMS
Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with ISBN/ISSN) › peer-review
Author(s)
Detail(s)
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the Hawaii International Conference on System Sciences |
| Publisher | Publ by IEEE |
| Pages | 641-648 |
| Volume | 3 |
| ISBN (Print) | 818650702 |
| Publication status | Published - 1994 |
Publication series
| Name | |
|---|---|
| Volume | 3 |
| ISSN (Electronic) | 1060-3425 |
Conference
| Title | Proceedings of the 27th Hawaii International Conference on System Sciences (HICSS-27). Part 4 (of 5) |
|---|---|
| City | Wailea, HI, USA |
| Period | 4 - 7 January 1994 |
Link(s)
Abstract
In this paper, we proposed a three phased model of the FMS control. The first phase is to identify the feasibility of job moves under given system status. The simple Sigma-Pi type of NN model has been adopted in Phase I for feasibility recognition. The second phase applies the Hopfield-Tank model to determine the most appropriate job moves from a feasible job set derived from Phase I. This problem is considered to be very difficult not only because of its NP-complete feature, but also because of the need for quick response under real-time environment. An Hopfield-Tank network with a linear energy function is proposed for Phase II. Phase III devotes to routing decisions for MHS. A heuristic algorithm based on Kohonen's Self-Organizing feature maps is proposed.
Citation Format(s)
Neural network approach for the real time control of a FMS. / Hao, Gang; Shang, Jan S.; Vargas, Luis G.
Proceedings of the Hawaii International Conference on System Sciences. Vol. 3 Publ by IEEE, 1994. p. 641-648.Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with ISBN/ISSN) › peer-review
