期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2013
卷号：3
期号：5
出版社：S.S. Mishra
摘要：Most scheduling problems have been demonstrated to calculate the time of scheduling algorithm problems. The neural network is commonly applied to obtain an optimal solution in various different scheduling applications, such as the traveling salesman problem (TSP), a typical discrete combinatorial problem. A time series algorithm in neural network is used for obtaining optimal schedules and the neural network is trained on these schedules. Knowledge is extracted from the trained network and past history data. The performance of this extracted rule set scheduling instances. The capability of the rule-based scheduler in providing dataset is highly used in various research works. This dynamic scheduling system should be seen as adaptive middle layer software, aware of current available resources and making the scheduling decisions using the past experience. It aims to optimize job specific parameters as well as the resource utilization. The scheduling system is able to dynamically calculation of finishing time and time consumed in scheduling the tasks of different parameters
关键词：Time Series Neural Network; Scheduling algorithm; Releasing time and Processing time
