The Research of Aircraft Landing Problems Based on Neural Network

Autor:	Ming Qiang Chen, Guang Ming Zhang, Jun Hong Feng
Rok vydání:	2013
Předmět:	Aircraft landing Engineering Optimization problem Artificial neural network business.industry General Engineering ComputerApplications_COMPUTERSINOTHERSYSTEMS Control engineering Runway Neural network nn business Simulation Scheduling (computing)
Zdroj:	Advanced Materials Research. 651:891-895
ISSN:	1662-8985
DOI:	10.4028/www.scientific.net/amr.651.891
Popis:	Aircraft Landing Scheduling (ALS) problem is a typical hard multi-constraint optimization problem. In real applications, it is not most important to find the best solution but to provide a feasible landing schedule in an acceptable time. Scheduling aircraft landing is a complex task encountered by most of the control towers. In this paper, we study the aircraft landing problem (ALP) in the multiple runway case. This paper proposes a method based on neural network which can effectively solve the ALS while satisfying the real-time need.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::3699217ae41b9757f22c84029a644514 https://doi.org/10.4028/www.scientific.net/amr.651.891 Zobrazit plný text záznamu