冰冻
发表于 2025-3-21 18:08:05
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压倒
发表于 2025-3-21 21:23:31
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homocysteine
发表于 2025-3-22 01:14:13
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Cupidity
发表于 2025-3-22 06:18:04
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Aviary
发表于 2025-3-22 10:31:20
as follows. Section 14.1 discusses the possibility of different input spaces for rule premises and consequents, which is a unique feature of local neuro-fuzzy models. Section 14.2 introduces the use of models that are more complex than local .. An extension of the LOLIMOT algorithm that allows one t
成绩上升
发表于 2025-3-22 13:35:27
ides explanations and terminology from an engineering perspe.This book provides engineers and scientists in academia and industry with a thorough understanding of the underlying principles of nonlinear system identification. It equips them to apply the models and methods discussed to real problems w
敏捷
发表于 2025-3-22 20:12:51
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亲爱
发表于 2025-3-23 00:31:31
ary and the fuzzy logic interpretation vanishes in the background. A couple of attractive key features of these model architectures are analyzed in this chapter. Two of them shall be highlighted here: The separation of the inputs for rule premises and for the rule consequents (local models) allows t
parallelism
发表于 2025-3-23 02:36:37
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类型
发表于 2025-3-23 08:30:32
Mathematics of Uncertainty978-3-540-31228-4Series ISSN 1434-9922 Series E-ISSN 1860-0808