Results show that the RBFNN is obviously superior to the traditional linear model, and its MAE (mean absolute error) and RMSE (root mean square error) are 41.8 and 55.7, respectively.

 
  • 結果顯示,該模型預測效果明顯優(yōu)于傳統的線(xiàn)性自回歸預測模型,各月平均的平均絕對誤差(MAE)和均方誤差(RMSE)達到41.;8和55
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