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Environmentally adaptive acoustic transmission loss prediction in turbulent and nonturbulent atmospheres

机译：湍流和非湍流环境中的环境自适应声传输损耗预测

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Gordon Wichern; Mahmood R. Azimi-Sadjadi; Michael Mungiole;
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年度 2007
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1. Environmentally adaptive acoustic transmission loss prediction in turbulent and nonturbulent atmospheres. [J] . Wichern G, Azimi-Sadjadi MR, Mungiole M Neural Networks: The Official Journal of the International Neural Network Society . 2007,第4期

机译：在湍流和非湍流大气中的环境适应性声传输损耗预测。
2. An operationally adaptive system for rapid acoustic transmission loss prediction [J] . Michael McCarron, Mahmood R. Azimi-Sadjadi, Michael Mungiole Neural Networks: The Official Journal of the International Neural Network Society . 2012,第Mara期

机译：用于快速声传输损耗预测的可操作自适应系统
3. An operationally adaptive system for rapid acoustic transmission loss prediction [J] . Michael McCarron, Mahmood R. Azimi-Sadjadi, Michael Mungiole Neural Networks: The Official Journal of the International Neural Network Society . 2012,第Mara期

机译：用于快速声传输损耗预测的可操作自适应系统
4. Environmentally adaptive acoustic transmission loss prediction with neural networks [C] . Gordon Wichern, Mahmood R. Azimi-Sadjadi, Michael Mungiole Society of Photo-Optical Instrumentation Engineers Conference on Unattended Ground Sensor Technologies and Applications . 2005

机译：具有神经网络的环境自适应声传输损耗预测
5. Predictions of the sound transmission loss of composite sandwich panels. [D] . Wang, Tongan. 2006

机译：预测复合夹芯板的传声损失。
6. Double-Scale Adaptive Transmission in Time-Varying Channel for Underwater Acoustic Sensor Networks [O] . Yi Cen, Mingliu Liu, Deshi Li, 2021

机译：水下声学传感器网络时变通道的双尺度自适应传输
7. An Environmentally Adaptive System for Rapid Acoustic Transmission Loss Prediction [O] . G. Wichern, M.R. Azimi-Sadjadi, M. Mungiole -1

机译：一种用于快速声传输损耗预测的环境自适应系统
8. Coupled Ocean-Acoustic Prediction of Transmission Loss in a Continental Shelfbreak Region: Predictive Skill, Uncertainty Quantification and Dynamical Sensitivities [R] . Lermusiaux, P. F., Xu, J. 2010

机译：大陆架区域传输损失的耦合海洋声学预测：预测技能，不确定性量化和动态灵敏度

Environmentally adaptive acoustic transmission loss prediction in turbulent and nonturbulent atmospheres

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