背景 发表于 2025-3-27 00:41:07
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https://doi.org/10.1007/978-3-319-11029-5ate past behavior into the future. Researchers have long been interested in modeling the problem by linear regression, neural network, chaos, support vector machines, etc. In this paper, we explore the use of Moore automata for time series forecast modeling and demonstrate how the Moore automata canMINT 发表于 2025-3-27 05:47:19
,Schwerpunkte städtischen Lebens, the entire supply chain. Successful supplier selection may have significant business implications, while how to determine the suitable suppliers is a complex decision making problem which includes both qualitative and quantitative factors. Therefore, this paper proposes a novel approach that combin合并 发表于 2025-3-27 10:31:19
,Schwerpunkte städtischen Lebens, or .-NEAREST NEIGHBOUR (.NN). The representation of distance measure can be one of the various measures available (e.g. Euclidean distance, Manhattan distance, Mahalanobis distance or other specific distance measures). In this paper, we propose a modified nearest neighbour method called Nearest NeiBRIEF 发表于 2025-3-27 15:02:50
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