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鱼群洄游预测研究对于渔业资源的可持续开发和利用是十分重要的。文章建立了基于RBF神经网络的鱼群洄游预测模型。研究结果表明,所提出的神经网络模型对于改进鱼群洄游的预测精度十分有效。渔业资源的可持续发展需要广泛、多领域的相互协作,并且需要自然科学与社会科学以及管理策略的相互结合。渔业生态经济的核心问题是处理好渔业经济发展与渔业生态保护的问题。
The study of fish migration prediction is very important for the sustainable development and utilization of fishery resources. The paper establishes a fish migration forecasting model based on RBF neural network. The results show that the proposed neural network model is very effective in improving the prediction accuracy of fish migration. The sustainable development of fishery resources requires extensive and multidisciplinary collaboration and requires the integration of natural sciences and social sciences and management strategies. The core issue of fishery eco-economy is to handle the issue of fishery economic development and fisheries eco-protection.