Submarine Sonar Self-Noise Forecast Based on BP Neural Network and Levenberg-Marquart Algorithm
Rui Chen · 2006
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.