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2367-4512 stics engineering. It is an excellent source of references for researchers, graduate students, engineers, management practitioners and undergraduate students interested in artificial intelligence and their applications in logistics engineering..978-3-030-80474-9978-3-030-80475-6Series ISSN 2367-4512 Series E-ISSN 2367-4520独裁政府 发表于 2025-3-30 19:41:46
Wilhelm Killing,Friedrich Engelveloped method is performed using the MSE loss function. The simulation was performed using a medical dataset of 79 instances. The accuracy of the developed method is compared with a number of existing modifications of the RBF neural networks (iterative and non-iterative). The highest accuracy of thnegotiable 发表于 2025-3-30 21:40:15
Learning to See with Milton Bradleyuencing factors on strategy selection. As demonstrated by relevant results, participation willingness of colleges, enterprises and the government produces impacts mutually to diverse extents. Since enterprises are in pursuit of profits, they are more sensitive to earnings and the default penalty. As危险 发表于 2025-3-31 01:51:51
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Advances in Artificial Systems for Logistics Engineering978-3-030-80475-6Series ISSN 2367-4512 Series E-ISSN 2367-4520没有准备 发表于 2025-3-31 14:00:51
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https://doi.org/10.1007/978-3-030-80475-6Engineering; Artificial Intelligence; Computational Intelligence; Logistics Engineering; Logistics; Infor