In the reconstructed phase space, the equal-dimension and new information prediction model of coal washery daily water consumption time series was established based on LSSVM.

 
  • 用微熵率法求得選煤廠(chǎng)日用水量時(shí)間序列的最佳嵌入維數和最佳延遲參數,重構相空間,建立了基于最小二乘支持向量機的選煤廠(chǎng)日用水量時(shí)間序列等維信息一步預側模型。
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