摘要
基于 NCEP/NCAR资料 ,利用人工神经网络 BP模型及其优化算法比较准确地建立起了赤道纬向风同滞后的赤道东太平洋海温之间的映射关系和预报模型 ,该模型具有较好的拟合精度和预报效果 ,可以效好地描绘赤道东太平洋海温的变化趋势 ,比较成功地模拟和仿真出了 1 982 /1 983和 1 986/1 987年的 El Nino以及 1 988年的 La Nina现象。
Based on NCEP/NCAR data sets, by using BP neural network model and its improved calculation method, the mapped relation and prediction model between equatorial east/west Pacific zonal wind and the lag sea temperature of east Pacific are established. This SST neural network model has better coupling precision and prediction effect, which can effectively illustrate the evolvement and trend of Equatorial East Pacific SST, and especially, by using this prediction model, the marked El Nino of 1982/1983 and noted La Nina of 1988 are successfully simulated and imitated.
出处
《解放军理工大学学报（自然科学版）》
EI
2000年第5期7-12,共6页
Journal of PLA University of Science and Technology(Natural Science Edition)
基金
高等学校骨干教师资助计划资助
