简介:
简介:影响的因素在水下车辆声纳自我噪音被分析,并且基因算法和背繁殖(BP)神经网络被联合预言在水下车辆声纳自我噪音。试验性的结果表明那在水下车辆sonarself噪音能被基于的一个GA-BP神经网络精确地预言实际在水下车辆声纳数据。
简介:噪音在250下面由变动浸透的蒸气流动导致了
Method for Measuring Self-noise of Vector Hydrophones
Underwater vehicle sonar self-noise prediction based on genetic algorithms and neural network
Numerical Study on Flow-induced Noise for a Steam Stop-valve Using Large Eddy Simulation