基于状态空间模型的多鱼种鱼量变化预测研究

Study on state space model of many fish species quantity change prediction

状态空间模型被应用于许多预测模型,大型生态养鱼场所多鱼种鱼量变化预测能直观的反应养鱼场各鱼种鱼量,对养鱼管理者决策,饲料的投放,捕鱼的时机有着很大的指导意义。应用状态空间模型的时间序列预测方法对多鱼种鱼量预测进行了研究。最后对预测结果进行分析,评估模型的可行性和可靠性。

State space model has become strong modeling tools of prediction system. There is rapidly increasing range of uses for state space model, It is also helpful for manager＇s decision on the fish feed delivery. The prediction gives a great fishing time guide to the farmer. In this paper, state-space model of time series prediction method for multi-species fish prediction were studied. Finally, this paper analyzed to assess the feasibility and reliability of the model.