踉跄
发表于 2025-3-26 21:25:48
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争吵加
发表于 2025-3-27 03:14:56
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和谐
发表于 2025-3-27 07:36:52
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indices
发表于 2025-3-27 13:18:35
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Coma704
发表于 2025-3-27 15:21:21
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DAMN
发表于 2025-3-27 18:01:17
Analysing Sentences with Networks of Evolutionary Processors NEPs’ features -modularity, specialization and parallelism- to develop a syntactic recognizer that is able to distinguish correct sentences working with lineal strings as input and lineal labeled structures as output.
calorie
发表于 2025-3-27 23:37:37
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时代错误
发表于 2025-3-28 03:09:32
Timed Accepting Hybrid Networks of Evolutionary Processorsrizing several usual complexity classes and also in solving efficiently decision problems. However, this model does not seem close to the usual algorithms, used in practice, since, in general, it lacks the property of stopping on every input. We add new features in order to construct a model that ha
Pandemic
发表于 2025-3-28 07:01:47
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Adherent
发表于 2025-3-28 11:05:43
A Basic Approach to Reduce the Complexity of a Self-generated Fuzzy Rule-Table for Function Approximt the best approximation accuracy are based on TSK fuzzy rules, which have the problem of not being as interpretable as Mamdany-type Fuzzy Systems. A question now is posed: How can the interpretability of the generated fuzzy rule-table base be increased? A possible response is to try to reduce the r