adjacent 发表于 2025-3-23 12:20:39

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VEN 发表于 2025-3-23 15:29:42

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–FER 发表于 2025-3-23 20:43:41

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充气女 发表于 2025-3-24 01:28:50

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COUCH 发表于 2025-3-24 03:15:11

ANLAGIS: Adaptive Neuron-Like Network Based on Learning Automata Theory and Granular Inference Systesented. Previous work of Jang . on adaptive network-based fuzzy inference systems, or simply ANFIS, can be considered a precursor of ANLAGIS. The main, novel contribution of ANLAGIS is the incorporation of Learning Automata Theory within its structure.

胶状 发表于 2025-3-24 07:22:33

Analysis of Retinal Ganglion Cells Population Responses Using Information Theory and Artificial Neuhowed very small variances in the information they conveyed while these values were significantly different across subpopulations, suggesting that the functional separation worked around the capacity of each cell to code different stimuli.

Limited 发表于 2025-3-24 11:38:31

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有说服力 发表于 2025-3-24 18:49:09

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DALLY 发表于 2025-3-24 19:15:22

https://doi.org/10.1007/978-3-642-02264-73D segmentation; LA; Scheduling; algorithms; ant colony; ants; automotive industry; classification; clusteri

含糊其辞 发表于 2025-3-25 02:10:30

978-3-642-02263-0Springer-Verlag Berlin Heidelberg 2009
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查看完整版本: Titlebook: Methods and Models in Artificial and Natural Computation. A Homage to Professor Mira‘s Scientific Le; Third International José Mira,José M