In this paper, Bayesian Regularization algorithm and BP neural network were combined to forecast submarine sonar self-noise. 文中将BP神经网络和L-M贝叶斯正则化算法相结合用于潜艇声纳(SQS)部位自噪声预报。
The imitation of marine sound wave signals in the submarine sonar system 潜艇声纳(SQS)系统水声信号模拟
The Simulating of Submarine Sonar(SQS) 潜艇声纳(SQS)的训练仿真
Function Simulation of Submarine Sonar(SQS) 潜艇声呐的功能仿真
With the appearance of the quiet submarine, active sonar is attached much more importance and play a more and more important role. 随着安静型潜艇的出现,主动声纳日益受到重视并发挥着越来越重要的作用。