Changes in ocean temperature will greatly affect the survival of marine life. Herring and mackerel, which are important sources of the Scottish fisheries economy, migrate as seawater temperatures rise. As consultants to the Scottish North Atlantic Fisheries Management Association, we need to investigate the migration of these two fish. In this paper, we first found out the concentrated factors that may affect fish migration, and processed them through principal component analysis. And then through BP neural network we predict the migration coefficient and scaling ratio, and finally uses ARCGIS software to draw the migration trajectory of the two fish species over the next 50 years and concluded that the school of fish should migrate northward beyond Norway.

Yumeng Qi, Yanbing Chen. The Migration Coefficient Prediction Based on BP Neural Network. Academic Journal of Environment & Earth Science (2020) Vol. 2 Issue 1: 1-5. https://doi.org/10.25236/AJEE.2020.020101.

[1] Liang Jian. Research on production scheduling based on improved genetic simulated annealing algorithm.Management Science and Engineering. 2017.05
[2] Wang Chuan, Zhang Baowen. Prediction of Short-Time Traffic Condition Based on Wavelet Analysis and the Hidden Markov Model. [J] Energy Conservation & Environmental Protection in Transportation. 2018, 14 (63): 44-45
[3] Wei Hanyan.Study on retrieve of sea surface temperature using MODIS Data [D]. University of Science and Technology of China. 2017.05
[4] Wany Rutian, Yang Dianliang, Wang Bin,Zeng Shuzhen.Application of optimization algorithm on simulating the fisher fishing in multi-objective optima lreactivepower [J]. Power System Protection and Control. 2011, 39 (21): 116-117
[5] Xu Zhihua. The game analysis of regional marine fisheries cooperation [D]. Ocean University of China. 2014.