时代农机
時代農機
시대농궤
Hunan Agricultural Machinery
2015年
5期
50-50,52
,共2页
支持向量机%负荷%预测
支持嚮量機%負荷%預測
지지향량궤%부하%예측
support vector machine (SVM)%Load%predict
以历史负荷数据作为训练样本,通过训练网络,找出输入与输出之间的最优函数关系,也就是通过一定的训练算法使得各参数达到最优,建立支持向量回归模型,以此作为预测模型。
以歷史負荷數據作為訓練樣本,通過訓練網絡,找齣輸入與輸齣之間的最優函數關繫,也就是通過一定的訓練算法使得各參數達到最優,建立支持嚮量迴歸模型,以此作為預測模型。
이역사부하수거작위훈련양본,통과훈련망락,조출수입여수출지간적최우함수관계,야취시통과일정적훈련산법사득각삼수체도최우,건립지지향량회귀모형,이차작위예측모형。
In this paper,historical load data was taken as the training sample,the optimal function relation between the input and output was found out through training network,that is to optimize each parameters through certain training algorithm and establish support vector regression model,abs take it as a prediction model.