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首页> 外文会议>International Conference on Intelligent Computation Technology and Automation >Survival Assessment of Freshwater Fish Driven by Salinity Based on S-Shaped Algorithm
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Survival Assessment of Freshwater Fish Driven by Salinity Based on S-Shaped Algorithm

机译：基于S形算法的盐度驱动的淡水鱼存活评估

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Salinity is an important ecological factor affecting the survival of fish, and, to a certain extent, the increase of the salinity value will directly cause the death of a large number of freshwater fish. Therefore, it is very necessary to establish the freshwater fish salinity-mortality curve, and to assess the survival of freshwater fish caused by salinity. In the present study, the function of salinity-death rate, based on hyperbolic tangent function, was constructed by means of comparative analysis from the general phenomenon of the mortality of freshwater fish caused by salinity, and the function was validated based on the data of the experimental biology method. The study results demonstrated that both the correlation coefficient and Nash coefficient of the efficiency of the calculated value and experimental value were high. In addition, in the estimation of the mortality rate of the freshwater fish caused by salinity there were applicability and accuracy of the application of the salinity-mortality function.
机译：盐度是影响鱼类存活的重要生态因素，并且在一定程度上，盐度值的增加将直接导致大量淡水的死亡。因此，建立淡水鱼盐度 - 死亡率曲线是非常必要的，并评估盐度引起的淡水鱼的存活。在本研究中，基于双曲线切线功能的盐度 - 死亡率的功能是通过盐度引起的淡水鱼死亡率的一般现象的比较分析构建的，并且该功能基于数据验证实验生物学方法。该研究结果表明，计算值和实验值的效率的相关系数和纳什系数都很高。此外，在估计由盐度引起的淡水鱼的死亡率有适用性和盐度死亡率施用的准确性。

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