Welcome to Francis Academic Press

The Frontiers of Society, Science and Technology, 2020, 2(5); doi: 10.25236/FSST.2020.020514.

Fish Migration Based on BP Algorithm


Zhong Weili

Corresponding Author:
Zhong Weili

Ludong University,Shangdong Yantai 264000, China


As the carbon emissions caused by human activities continue to increase, the greenhouse effect continues to increase, leading to global warming, which changes the global ocean temperature, and marine life migrates to future life and habitats that are easy to reproduce successfully. This article focuses on the distribution of two fish populations that have significant economic contributions to the fisheries in Scotland, analyzes the data related to global warming and climate factors, and further proposes a stable plan for the fishery economy in Scotland.


Global warming; Nonlinear integer programming; Neural network models; Bioeconomic models

Cite This Paper

Zhong Weili. Fish Migration Based on BP Algorithmt. The Frontiers of Society, Science and Technology (2020) Vol. 2 Issue 5: 56-60. https://doi.org/10.25236/FSST.2020.020514.


[1] Zhao Lei (2008). Preliminary Study on the Interactive Relationship between Global Climate Change and Marine Fisheries. Ocean Development and Management, no.8, pp. 89-95.
[2] Zhou Guangzheng (1992). Global warming will affect fisheries. Marine Development and Management, no.3, pp.74-75.
[3] Jiao Yongfeng (2007). Harm of Climate Warming to Fisheries and Suggestions. Henan Fisheries, vol.71, no.2, pp.39-39.
[4] Douglas C (2016). Montgomery, Introduction to Linear Regression Analysis (5th edition of the original book), Mechanical Industry Press, no.4, pp.45-46.
[5] Si Shoukui, Sun Xijing (2014). Mathematical Modeling Algorithms and Applications, Beijing: National Defense Industry Press, no.9, pp.78-79.