| 书目名称 | Neural Networks and Fuzzy Systems | | 副标题 | Theory and Applicati | | 编辑 | Shigeo Abe | | 视频video | | | 图书封面 |  | | 描述 | .Neural Networks and Fuzzy Systems: Theory andApplications. discusses theories that have proven useful in applyingneural networks and fuzzy systems to real world problems. The bookincludes performance comparison of neural networks and fuzzy systemsusing data gathered from real systems. Topics covered include theHopfield network for combinatorial optimization problems, multilayeredneural networks for pattern classification and function approximation,fuzzy systems that have the same functions as multilayered networks,and composite systems that have been successfully applied to realworld problems. The author also includes representative neural networkmodels such as the Kohonen network and radial basis function network.New fuzzy systems with learning capabilities are also covered. .The advantages and disadvantages of neural networks and fuzzy systemsare examined. The performance of these two systems in license platerecognition, a water purification plant, blood cell classification,and other real world problems is compared. | | 出版日期 | Book 1997 | | 关键词 | classification; cognition; combinatorial optimization; fuzzy; fuzzy system; fuzzy systems; learning; neural | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4615-6253-5 | | isbn_softcover | 978-1-4613-7869-3 | | isbn_ebook | 978-1-4615-6253-5 | | copyright | Springer Science+Business Media New York 1997 |
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发表于 2025-3-21 16:54:07
