Classifying wakes produced by self-propelled fish-like swimmers using neural networks | |
Li BL(李秉霖)1,2; Zhang X(张翔)1,2; Zhang X(张星)1,2 | |
发表期刊 | Theoretical and Applied Mechanics Letters |
2020-03 | |
卷号 | 10期号:2页码:1-6 |
摘要 | We consider the classification of wake structures produced by self-propelled fish-like swimmers based on local measurements of flow variables. This problem is inspired by the extraordinary capability of animal swimmers in perceiving their hydrodynamic environments under dark condition. We train different neural networks to classify wake structures by using the streamwise velocity component, the crosswise velocity component, the vorticity and the combination of three flow variables, respectively. It is found that the neural networks trained using the two velocity components perform well in identifying the wake types, whereas the neural network trained using the vorticity suffers from a high rate of misclassification. When the neural network is trained using the combination of all three flow variables, a remarkably high accuracy in wake classification can be achieved. The results of this study can be helpful to the design of flow sensory systems in robotic underwater vehicles. |
学科领域 | 计算流体力学 |
DOI | 10.1016/j.taml.2020.01.010 |
收录类别 | CSCD |
语种 | 英语 |
课题组名称 | LNM湍流 |
论文分区 | 二类 |
力学所作者排名 | 1 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://dspace.imech.ac.cn/handle/311007/81451 |
专题 | 非线性力学国家重点实验室 |
通讯作者 | Li BL(李秉霖) |
作者单位 | 1.中国科学院力学研究所非线性力学国家重点实验室 2.中国科学院大学工程科学学院 |
推荐引用方式 GB/T 7714 | Li BL,Zhang X,Zhang X. Classifying wakes produced by self-propelled fish-like swimmers using neural networks[J]. Theoretical and Applied Mechanics Letters,2020,10,2,:1-6. |
APA | Li BL,Zhang X,&Zhang X.(2020).Classifying wakes produced by self-propelled fish-like swimmers using neural networks.Theoretical and Applied Mechanics Letters,10(2),1-6. |
MLA | Li BL,et al."Classifying wakes produced by self-propelled fish-like swimmers using neural networks".Theoretical and Applied Mechanics Letters 10.2(2020):1-6. |
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TAML-19-137-final.pd(2661KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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