水文
水文
수문
HYDROLOGY
2010年
2期
44-49
,共6页
支持向量机%径流%泥沙%模拟%洞庭湖
支持嚮量機%徑流%泥沙%模擬%洞庭湖
지지향량궤%경류%니사%모의%동정호
support vector machine%runoff%sediment%simulation%Dongting Lake
在对复杂的荆江一洞庭湖河网水系概化和洞庭湖区水沙特性分析的基础上,建立洞庭湖区水沙支持向量机模型,通过对1956～2008年城陵矾出湖系列输沙量模拟和检验,实测值与拟合值吻合良好,且精度明显高于人工神经网络和线性回归等方法.
在對複雜的荊江一洞庭湖河網水繫概化和洞庭湖區水沙特性分析的基礎上,建立洞庭湖區水沙支持嚮量機模型,通過對1956～2008年城陵礬齣湖繫列輸沙量模擬和檢驗,實測值與擬閤值吻閤良好,且精度明顯高于人工神經網絡和線性迴歸等方法.
재대복잡적형강일동정호하망수계개화화동정호구수사특성분석적기출상,건립동정호구수사지지향량궤모형,통과대1956～2008년성릉반출호계렬수사량모의화검험,실측치여의합치문합량호,차정도명현고우인공신경망락화선성회귀등방법.
On the basis of drainage network generalization and water-sediment characteristics analysis,a support vector machine model for simulating the flow-sediment transportation of Jingjiang River-Dongting Lake network was established.The simulated results show that the measured values are in good agreement with the fitted values,and fitting accuracy is significantly higher than that of artificial neural networks and linear regression methods.
