思考而得
发表于 2025-3-25 04:04:45
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倔强一点
发表于 2025-3-25 09:19:01
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figment
发表于 2025-3-25 12:48:16
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languid
发表于 2025-3-25 16:25:51
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凹室
发表于 2025-3-25 21:58:06
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矿石
发表于 2025-3-26 00:16:20
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follicular-unit
发表于 2025-3-26 07:40:48
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Irritate
发表于 2025-3-26 08:55:17
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Functional
发表于 2025-3-26 16:09:13
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GENUS
发表于 2025-3-26 19:42:19
Optical Realizations of Adaptive Resonance Theory Networksing a growing number of problems, especially in group-technology problems and in motion control. This is mainly due to its stable unsupervised learning properties and its ability to process large input-pattern fields. Successful electronic applications of ART used input fields in excess of 10. nodes