2003Systems Engineering - Theory & PracticeRequires access

Research on the Time-Data-Separation of the Forecast of Unequal Interval Sequence

Wei Jiang

Open publisher page 6 citations

Abstract

The Time\|data\|separation approach is put forward to solve the prediction problem of unequal interval sequence in Grey theory on the basis of the concept of the class sequence, which keeps the time sequence separate from the data sequence, and then combines the time sequence and the data sequence with the class sequence for constituting model , finally synchronously makes prediction. Using this method, the trend of the seepage flow is analyzed in No.1 tailings dam of Dexing Copper Mine. The result shows that the model can make prediction effectively and meet the needs of engineering.

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What this paper is about

The Time\|data\|separation approach is put forward to solve the prediction problem of unequal interval sequence in Grey theory on the basis of the concept of the class sequence, which keeps the time sequence separate from the data sequence, and then combines the time sequence and the data sequence with the class sequence for constituting model , finally synchronously makes prediction. Using this method, the trend of the seepage flow is analyzed in No.1 tailings dam of Dexing Copper Mine. The result shows that the model can make prediction effectively and meet the needs of engineering.

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OpenAlex reports 6 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The Time\|data\|separation approach is put forward to solve the prediction problem of unequal interval sequence in Grey theory on the basis of the concept of the class sequence, which keeps the time sequence separate from the data sequence, and then combines the time sequence and the data sequence with the class sequence for constituting model , finally synchronously makes prediction. Using this method, the trend of the seepage flow is analyzed in No.1 tailings dam of Dexing Copper Mine. The result shows that the model can make prediction effectively and meet the needs of engineering.

Key concepts: Sequence (biology), Interval (graph theory), Time sequence, Class (philosophy), Computer science, Copper mine, Data mining, Mathematics

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