摘要
针对智能算法对非线性问题具有卓越的学习和模拟预测能力,综述了应用人工神经网络、支持向量机、遗传算法和粒子群算法等智能算法预测富营养化研究进展,指出随智能算法自身的不断完善与富营养化机理的深入研究,组合智能算法、数值法智能算法的耦合算法将是模拟预测湖库富营养化的合理发展方向。
Intelligent algorithms have superior capabilities of learning and simulation prediction for nonlinear problems.In this paper,the study progress is reviewed on eutrophication intelligent prediction by using artificial neural networks,support vector machines,genetic algorithms and particle swarm optimization algorithm.It is pointed out that the combination intelligent algorithms with numerical-intelligent algorithms will be the development direction for simulation prediction eutrophication mechanism in lakes and reservoirs.
出处
《水电能源科学》
北大核心
2010年第8期33-36,26,共5页
Water Resources and Power
基金
"十一五"国家科技支撑计划基金资助项目(2008BAB29B09)
国家水体污染控制与治理科技重大专项子课题基金资助项目(2008ZX07104-004)
国家杰出青年科学基金资助项目(50925932)
