不给啤 发表于 2025-3-23 10:42:06

Neuro-Fuzzy Integration in Hybrid Intelligent Systems,tion offers the advantage of homogeneity, as well as the possibility of performing distributed tasks, and working with incomplete and noisy data. From the point of view of knowledge-based systems, symbolic representations have advantages of human interpretation, explicit control, and knowledge abstraction (Kosko 1992; Wermter and Sun 2000).

外面 发表于 2025-3-23 14:03:40

,New Trends of Developing Hybrid Intelligent Systems – AIS Hybridization and DNA-Hybridization,iplinary development approach of . and . reliant hybridisation algorithms, techniques and application was created by the collective effort of a large spectrum of high technology practitioners; mainly the computer scientists, engineers acting in different technicalfields, biologists and natural environment specialists.

Hyperalgesia 发表于 2025-3-23 21:56:26

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Commonplace 发表于 2025-3-24 01:54:16

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嫌恶 发表于 2025-3-24 04:17:27

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Aerate 发表于 2025-3-24 09:15:16

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粗语 发表于 2025-3-24 10:48:07

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inclusive 发表于 2025-3-24 16:36:48

Fuzzy Rules Extraction from Connectionist Structures,s to exhibit and explain the results of neural calculus as a parallel inference process. This chapter focuses on a strictly fuzzy approach to neural networks. It presents some interactive fuzzy operators in order to extract connectionist-represented knowledge, based on the concept of .-duality. The

细胞 发表于 2025-3-24 21:48:50

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instill 发表于 2025-3-25 00:43:36

Practical Implementation Aspects Regarding Real-World Application of Hybrid Intelligent Systems,could be reviewed, but this is beyond the topic of this book. We tried to introduce just some special original applications. On the other hand, this chapter will also be focused on some combined approaches which involve the main . techniques, but at the same time are both fundamental and with a very
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查看完整版本: Titlebook: Computational Intelligence; Engineering of Hybri Mircea Gh. Negoita,Daniel Neagu,Vasile Palade Book 2005 Springer-Verlag Berlin Heidelberg