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- W320659321 abstract "This paper aims to use the technique of artificial neural networks (ANN) to estimate the origin-destination matrix (O-D) of soybeans in Brazil for export to explain the variability of flows between O-D pairs, considering the dynamic characteristics existing in O-D matrices. The authors will then compare the results with the gravity model (GM), which is a model used in strategic planning of the Brazilian government also proposed a procedure for the use of ANNs in travel distribution load. Among the four models built in this paper, the authors have highlighted the combination C-02, with a coefficient of determination (R²) higher than 9% and with a dissimilarity index (DI) 6.92% lower than the GM. It can be observed that ANNs can be a potential substitute to conventional statistical models because if their easy interface to user programs, but the ANNs are not reported in the literature as options for calculating the travel distribution of Four Steps Method. Thus, this technique is rarely used for the transportation of cargo." @default.
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- W320659321 date "2015-01-01" @default.
- W320659321 modified "2023-09-24" @default.
- W320659321 title "Procedure for use of artificial neural networks in the strategic planning of load flow in Brazil" @default.
- W320659321 hasPublicationYear "2015" @default.
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