submarine sonar信息详情
潜艇声纳
submarine───n.潜水艇；海底生物；vt.用潜水艇攻击；adj.海底的；水下的；vi.在下疾行；在下滑动
submarine races───潜艇比赛
submarine videos───潜艇视频
flucky submarine───毛茸茸的潜艇
grayback submarine───灰背潜艇
submarine warfare───潜艇战
submarine sandwich───潜艇三明治；潜艇形大三明治
bowfin submarine───弓鳍潜艇
gymnote submarine───gymnote潜艇
example analysis in the submarine sonar combater nature it is shown that this method is available for increasing the creditability of evaluation result.───例分析表明，该方法对于提高评估结果的可信性具有明显的作用。
and the future ultrasonic rangefinder will connect with automation intelligent, and other range finder instrument integration, formed much rangefinder.───而且未来的超声波测距仪将同自动化智能化接轨，与其他的测距仪器集成，形成多测距仪。
Development is more suitable for the submarine sonar, offshore work to improve the working environment.───设计 研制更适合于浅海工作的潜艇声纳，改善潜艇声纳的工作环境。
Lower a submarine strongly from the bad voice, the work environment of the improvement submarine sonar.───大力降低潜艇自噪声，改善潜艇声纳的工作环境。
Actual data were utilized to train BP neural network that can be used to accurately forecast submarine sonar self-noise.───利用潜艇声纳实测数据进行网络训练，训练好的神经网络可以对潜艇声纳部位白噪声进行精确预报。
Development is more suitable for the submarine sonar, offshore work to improve the working environment.───研制更适合于浅海工作的潜艇声纳，改善潜艇声纳的工作环境。
"No ambush" nuclear submarine sonar and radar are also very sensitive, you can find 5, 000 km outside the vessel.───“伏击号”核潜艇上的声呐和雷达也非常敏感，可以发现5000公里外的船只。
Develop the submarine sonar of the more suitable for neritic work, resolve the target in the neritic water to identify a problem especially;───研制更适合于浅海工作的潜艇声纳，特别是解决浅海水中目标识别问题；
Submarine sonar self-noise forecast base on BP neural network and L-M Bayesian Regularization algorithm───基于L-M贝叶斯正则化方法的BP神经网络在潜艇声纳部位自噪声预报中的应用
In this paper, Bayesian Regularization algorithm and BP neural network were combined to forecast submarine sonar self-noise.
All kinds of parameters that have function to submarine sonar self-noise were analyzed.
Actual data were utilized to train BP neural network that can be used to accurately forecast submarine sonar self-noise.