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- W2385878510 abstract "This paper gives some discussions on genetic algorithm that are applied to the problem of the model choice of intelligent economic forecast. First, the model in the model base is coded to the population of the genetic operations. Second, new models or combinations of them are created by cross and mutation operation. Furthermore, the generated models will be self-adaptive and self-learning. They can be scored by some evaluations that are regarded as the individual fitness to be the choice operation of the genetic algorithm. Finally, a better model of forecast is produced to forecast the data. As an example, the forecast analysis of the passenger transport of China is stated in the end of the paper." @default.
- W2385878510 created "2016-06-24" @default.
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- W2385878510 date "2004-01-01" @default.
- W2385878510 modified "2023-09-24" @default.
- W2385878510 title "Intelligent Economic Forecast Method Based On Genetic Algorithm" @default.
- W2385878510 hasPublicationYear "2004" @default.
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