| 书目名称 | Soft Computing and Fractal Theory for Intelligent Manufacturing |
| 编辑 | Oscar Castillo,Patricia Melin |
| 视频video | |
| 概述 | Unique approach combining soft computing techniques with fractal theory.Various applications in manufacturing, numerous examples.Includes supplementary material: |
| 丛书名称 | Studies in Fuzziness and Soft Computing |
| 图书封面 |  |
| 描述 | We describe in this book, new methods for intelligent manufacturing using soft computing techniques and fractal theory. Soft Computing (SC) consists of several computing paradigms, including fuzzy logic, neural networks, and genetic algorithms, which can be used to produce powerful hybrid intelligent systems. Fractal theory provides us with the mathematical tools to understand the geometrical complexity of natural objects and can be used for identification and modeling purposes. Combining SC techniques with fractal theory, we can take advantage of the "intelligence" provided by the computer methods and also take advantage of the descriptive power of the fractal mathematical tools. Industrial manufacturing systems can be considered as non-linear dynamical systems, and as a consequence can have highly complex dynamic behaviors. For this reason, the need for computational intelligence in these manufacturing systems has now been well recognized. We consider in this book the concept of "intelligent manufacturing" as the application of soft computing techniques and fractal theory for achieving the goals of manufacturing, which are production planning and control, monitoring and diagnosis |
| 出版日期 | Book 2003 |
| 关键词 | Signal; Simulation; algorithm; dynamische Systeme; fractal theory; fuzzy control; fuzzy logic; fuzzy system |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-7908-1766-9 |
| isbn_softcover | 978-3-662-00296-4 |
| isbn_ebook | 978-3-7908-1766-9Series ISSN 1434-9922 Series E-ISSN 1860-0808 |
| issn_series | 1434-9922 |
| copyright | Springer-Verlag Berlin Heidelberg 2003 |
发表于 2025-3-21 17:44:41
