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- W2380491299 abstract "Ship wake appearances possess information of ship type,tonage and speed.Wakes' target recognition is a helpful way for ship identification.The principle,characteristics and operation steps of stochastic gradient genetic algorithm(SGGA) are expounded.Sorting and recognition processes are carried out for ship wakes of three different speeds by use of SGGA.Target recognition rates,under the three speeds,increase by about 20% in evolutional generation(EG) ranges,of SGGA,from 5 to 10 and from 10 to 15.The rates inch up in EG ranges from 15 to 20 or upward.SGGA gets convergence basically with EG of 15.Feasibility of that is confirmed based on the results.Standard genetic algorithm(SGA) approaches global optimal value slowly and is immersed in the local optimal value sometimes.SGA,which has poor convergence,shows fluctuation near the optimal value." @default.
- W2380491299 created "2016-06-24" @default.
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- W2380491299 date "2007-01-01" @default.
- W2380491299 modified "2023-09-24" @default.
- W2380491299 title "Development of Ship Wake Target Recognition Based on SGGA" @default.
- W2380491299 hasPublicationYear "2007" @default.
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