With the rapid growth of China's economy, people pay more and more attention to marine resources. In the process of growth and utilization, how to deal with the relationship with the marine ecological environment is also a great challenge for us. In this paper, the domestic and foreign research and analysis on protecting the marine environment, carrying out large-scale marine engineering activities and promoting sustainable fishery production are carried out, and classified and summarized. Through the establishment of models to predict the factors affecting the coastline of the coastal seabed zone and their change rules in different stages, according to the historical data of marine resources, artificial neural networks(NN) are constructed using NN algorithms to study the regional water and soil conservation planning and growth measures based on the marine ecological environment. Finally, the model is simulated and tested. The test results show that the marine resource growth model based on neural algorithm has short data processing time and low delay time, which indicates that the algorithm can meet the operational requirements of the marine resource model.

Gachuno Onesmus. Relationship between Marine Resources growth and Marine Economy Based on Neural Network. Frontiers in Ocean Engineering (2022), Vol. 3, Issue 4: 28-35. https://doi.org/10.38007/FOE.2022.030404.

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