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- W2391617756 abstract "By making use of chaos characters of sea clutter and Ne ural Network's goodness of non-linear fit,a RBF network for prediction is des igned to decide whether there are targets in radar echo wave or not.The problem of targets detection can be viewed as two-patterns decision through calculatin g forecasted mean-squared error on either of targets-including imput and targe ts-non-including imput.We take Bayes' detection theory,based on minimum fal se ratio,as the rule of decision.On assuming that the transcendent probabiliti es of the two patterns are equal,the crossing point of two patterns' condition al probability density curve can be made the cut-off in this emulation,from wh ich the minimum signal-to-noise ratio for detection is obtained as-13.271 dB." @default.
- W2391617756 created "2016-06-24" @default.
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- W2391617756 date "2007-01-01" @default.
- W2391617756 modified "2023-09-27" @default.
- W2391617756 title "Targets Existence Decision Based on RBFN and Bayes' Detection Theory" @default.
- W2391617756 hasPublicationYear "2007" @default.
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