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- W2356163516 abstract "If L-M(Levenberg-Marquart) algorithm is combined with BP(Back-Propagation) neural network,faster speed of convergence and higher learning accuracy of BP neural network can be acquired as multiple parameters and large patterns are inputted.This paper combines L-M algorithm with BP neural network to forecast submarine sonar self-noise.All kinds of parameters that have function to submarine sonar self-noise have been analyzed.Actual data are utilized to train BP neural network and then the trained BP neural network can be used to accurately forecast submarine sonar self-noise." @default.
- W2356163516 created "2016-06-24" @default.
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- W2356163516 date "2006-01-01" @default.
- W2356163516 modified "2023-09-27" @default.
- W2356163516 title "Submarine Sonar Self-Noise Forecast Based on BP Neural Network and Levenberg-Marquart Algorithm" @default.
- W2356163516 hasPublicationYear "2006" @default.
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