作者: Guijie Liu , Shuikuan Liu , Shirui Wang , Huanhuan Hao , Mengmeng Wang
DOI: 10.1007/S42235-019-0113-5
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摘要: In nature, with the help of lateral lines, fish is capable sensing state flow field and recognizing surrounding near-field hydrodynamic environment in condition weak light or even complete darkness. order to study application an improved pressure distribution model was proposed this paper, distributions line carrier under different working conditions were obtained using simulations. Subsequently, a visualized difference matrix constructed identify fields conditions. The role lines investigated from visual image perspective. Instinct features velocities, angles obstacle offset distances mapped into matrix. Lastly, four-layer Convolutional Neural Network (CNN) built as recognition tool evaluate effectiveness method. results demonstrate that CNN can 2 s earlier than current time. Hence, method provides new way information engineering applications.