Abstract | ||
---|---|---|
Intention of this paper is to introduce the way how new types of artificial neural networks can be chosen in the control of electrical drives. The procedure is demonstrated through the use of rotor time constant adaptation method in the control of electrical ... |
Year | DOI | Venue |
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2008 | 10.1109/CISIM.2008.55 | CISIM |
Keywords | Field | DocType |
genetic algorithms,real time systems,titanium,application software,genetic algorithm,real time,job shop scheduling,earliest deadline first,schedules,scheduling,dynamic scheduling,scheduling algorithm | Uniprocessor system,Job shop scheduling,Scheduling (computing),Computer science,Parallel computing,Heuristics,Schedule,Dynamic priority scheduling,Earliest deadline first scheduling,Genetic algorithm,Distributed computing | Conference |
Citations | PageRank | References |
4 | 0.43 | 6 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Keshav Dahal | 1 | 180 | 14.11 |
M. Alamgir Hossain | 2 | 107 | 16.52 |
Benny Varghese | 3 | 9 | 1.73 |
Ajith Abraham | 4 | 8954 | 729.23 |
Fatos Xhafa | 5 | 3433 | 343.33 |
Atanasi Daradoumis | 6 | 9 | 1.02 |