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《第37届中国控制会议论文集(B)》2018年
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Early warning model for marine organism detection based on BP neural network

Liu Yang  Zong Humin  Meng Wei  
【摘要】:Consider the density of marine organism and the size and direction of the current, an early warning model of marine organism invasion based on BP neural network was established. A quantitative evaluation of the intensity of marine organism invasion can be obtained through the established early warning model. BPNN is used to estimate the relationship between marine organisms density and invasion intensity in different current velocity. And then determine the warning threshold and establish an invasion model. The results show that the early warning model can be effectively described on the invasion intensity and the warning level.

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