An Ann Simulation of Single Server with Infinite Capacity Queuing System
Sivakami Sundari M1, Palaniammal S2
1Sivakami Sundari M, Department of BSH, GIET University, Gunupur, India.
2Palaniammal S. Principal and Professor, Department of Mathematics, Sri Krishna Adithya College of Arts and Science, Kovaipudur, Coimbatore, India.
Manuscript received on September 15, 2019. | Revised Manuscript received on 23 September, 2019. | Manuscript published on October 10, 2019. | PP: 4067-4071 | Volume-8 Issue-12, October 2019. | Retrieval Number: L36331081219/2019©BEIESP | DOI: 10.35940/ijitee.L3633.1081219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Successful formulation of queuing models depends on arrival rate, nature of waiting in queues, type of service and customer leaving the system depends on type of arrival, nature of service, number of servers deputed, type of queues, number of customers approaching for service in the system and delay. Kendall notations are popularly used for designating the queuing models like M/M/C/E/D. Various mathematical models have been developed to solve the queuing problem analytically. However solving queuing models with power of computers is the new area of research and this work intends to develop single server infinite capacity queuing system using Artificial Neural Network(ANN). The results of simulation are compared with that of analytical method.
Keywords: Artificial Neural Network, Infinite capacity, Queuing System, Single server.
Scope of the Article: Artificial Intelligence