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We developed and implemented a artificial-knowledge-technology procedure to further Consider the performance with the proposed product while in the existence of different seasonal factors.A solitary linear layer is sufficiently robust to product and forecast time sequence knowledge furnished it has been appropriately decomposed. Therefore, we allot