書目名稱 | New Learning Paradigms in Soft Computing |
編輯 | Lakhmi C. Jain,Janusz Kacprzyk |
視頻video | http://file.papertrans.cn/666/665427/665427.mp4 |
概述 | Shows the use of fuzzy logic, neural networks and evoluationary computations in various machine learning procedures.Presents new trends in machine learning |
叢書名稱 | Studies in Fuzziness and Soft Computing |
圖書封面 |  |
描述 | Learning is a key issue in the analysis and design of all kinds of intelligent systems. In recent time many new paradigms of automated (machine) learning have been proposed in the literature. Soft computing, that has proved to be an effective and efficient tool in so many areas of science and technology, seems to offer new qualities in the realm of machine learning too. The purpose of this volume is to present some new learning paradigms that have been triggered, or at least strongly influenced by soft computing tools and techniques, mainly related to neural networks, fuzzy logic, rough sets, and evolutionary computations. |
出版日期 | Book 2002 |
關(guān)鍵詞 | Lazy learning; artificial intelligence; classification; evolution; evolutionary computation; fuzzy; fuzzy |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-7908-1803-1 |
isbn_softcover | 978-3-7908-2499-5 |
isbn_ebook | 978-3-7908-1803-1Series ISSN 1434-9922 Series E-ISSN 1860-0808 |
issn_series | 1434-9922 |
copyright | Springer-Verlag Berlin Heidelberg 2002 |