| 书目名称 | Evolving Connectionist Systems | | 副标题 | Methods and Applicat | | 编辑 | Nikola Kasabov | | 视频video | | | 概述 | The only book to provide a comprehensive, state-of-the-art overview of evolving connectionist systems.Includes supplementary material: | | 丛书名称 | Perspectives in Neural Computing | | 图书封面 |  | | 描述 | Many methods and models have been proposed for solving difficult problems such as prediction, planning and knowledge discovery in application areas such as bioinformatics, speech and image analysis. Most, however, are designed to deal with static processes which will not change over time. Some processes - such as speech, biological information and brain signals - are not static, however, and in these cases different models need to be used which can trace, and adapt to, the changes in the processes in an incremental, on-line mode, and often in real time. This book presents generic computational models and techniques that can be used for the development of evolving, adaptive modelling systems. The models and techniques used are connectionist-based (as the evolving brain is a highly suitable paradigm) and, where possible, existing connectionist models have been used and extended. The first part of the book covers methods and techniques, and the second focuses on applications in bioinformatics, brain study, speech, image, and multimodal systems. It also includes an extensive bibliography and an extended glossary. Evolving Connectionist Systems is aimed at anyone who is interested in de | | 出版日期 | Book 20031st edition | | 关键词 | automata; bioinformatics; cognition; data analysis; evolution; evolutionary computation; fuzzy logic; image | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4471-3740-5 | | isbn_ebook | 978-1-4471-3740-5Series ISSN 1431-6854 | | issn_series | 1431-6854 | | copyright | Springer-Verlag London 2003 |
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发表于 2025-3-21 19:31:58
