| 书目名称 | Evolving Rule-Based Models |
| 副标题 | A Tool for Design of |
| 编辑 | Plamen P. Angelov |
| 视频video | |
| 概述 | First approach to on-line generation and adaptation of rule-based models.Illustration with real engineering examples.Includes supplementary material: |
| 丛书名称 | Studies in Fuzziness and Soft Computing |
| 图书封面 |  |
| 描述 | The idea about this book has evolved during the process of its preparation as some of the results have been achieved in parallel with its writing. One reason for this is that in this area of research results are very quickly updated. Another is, possibly, that a strong, unchallenged theoretical basis in this field still does not fully exist. From other hand, the rate of innovation, competition and demand from different branches of industry (from biotech industry to civil and building engineering, from market forecasting to civil aviation, from robotics to emerging e-commerce) is increasingly pressing for more customised solutions based on learning consumers behaviour. A highly interdisciplinary and rapidly innovating field is forming which focus is the design of intelligent, self-adapting systems and machines. It is on the crossroads of control theory, artificial and computational intelligence, different engineering disciplines borrowing heavily from the biology and life sciences. It is often called intelligent control, soft computing or intelligent technology. Some other branches have appeared recently like intelligent agents (which migrated from robotics to different engineering |
| 出版日期 | Book 2002 |
| 关键词 | algorithms; complex system; complex systems; decision support system; fuzzy; genetic algorithms; model; mod |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-7908-1794-2 |
| isbn_softcover | 978-3-7908-2506-0 |
| isbn_ebook | 978-3-7908-1794-2Series ISSN 1434-9922 Series E-ISSN 1860-0808 |
| issn_series | 1434-9922 |
| copyright | Springer-Verlag Berlin Heidelberg 2002 |
发表于 2025-3-21 16:20:21
