| 书目名称 | Evolving Connectionist Systems | | 副标题 | The Knowledge Engine | | 编辑 | Nikola Kasabov | | 视频video | | | 概述 | Includes new trends and applications that relate to evolving systems.A fully extended, integrated approach to the analysis of evolving information processes at different levels | | 图书封面 |  | | 描述 | .Evolving Connectionist Systems is aimed at all those interested in developing and using intelligent computational models and systems to solve challenging real world problems in computer science, engineering, bioinformatics and neuroinformatics. The book challenges scientists and practitioners with open questions about future creation of new information models inspired by Nature. ...This second edition includes new methods for adaptive, knowledge-based learning, such as online incremental feature selection, spiking neural networks, transductive neuro-fuzzy inference, adaptive data and model integration, cellular automata and artificial life systems, particle swarm optimisation, ensembles of evolving systems, and quantum inspired neural networks. ...New applications to gene and protein interaction modelling, brain data analysis and brain model creation, computational neuro-genetic modelling, adaptive speech, image and multimodal recognition, language modelling, adaptive robotics, modelling dynamic financial and socio-economic systems, and ecological modelling, are covered. ...An important new feature of the book is the attempt to connect different structural and functional levels of | | 出版日期 | Book 2007Latest edition | | 关键词 | Adaptive Time-Series Analysis; Connectionist Systems; Fuzzy Logic; Learning Systems; Neural Networks; Spe | | 版次 | 2 | | doi | https://doi.org/10.1007/978-1-84628-347-5 | | isbn_softcover | 978-1-84628-345-1 | | isbn_ebook | 978-1-84628-347-5 | | copyright | Springer-Verlag London 2007 |
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发表于 2025-3-21 16:55:23
