Applied a novel machine learning algorithm-least squares support vector machines (LSSVM) into coal washery daily water consumption times series prediction.

 
  • 摘要針對選煤廠(chǎng)日用水量時(shí)間序列的預測問(wèn)題,提出應用最小二乘支持向量機(LSSVM)這一新的機器學(xué)習方法來(lái)實(shí)現日用水量的短期預測。
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