| 书目名称 | Soft Computing in Industrial Applications |
| 编辑 | Yukinori Suzuki,Seppo Ovaska,Yasuhiko Dote |
| 视频video | |
| 概述 | Contributions from worldwide leading researchers in the field.Especially innovative chapters on Fuzzy computing, Neuro computing and Evolutionary computing |
| 图书封面 |  |
| 描述 | This book contains recent theoretical innovations and a comprehensive collection of industrial applications in the emerging field of Soft Computing. Soft computing is a new form of artificial intelligence and it consists of four core methodologies: Fuzzy Computing, Neuro Computing, Evolutionary Computation, and Probabilistic Computing. These individual techniques are clearly complementary or synergistic rather than competitive. Therefore, it is a common practice to combine two or three methodologies when solving complex problems. Also the systematic fusion of soft computing and hard computing is a highly potential alternative to be considered. Soft computing methodologies are suitable for various real-world applications, because the available information and system knowledge are often imprecise, un certain, or partially even incorrect. To handle such demanding conditions and obtain the required robustness with pure hard computing would typically be either very difficult or expensive. This book is a unique collection of technical articles providing a thorough overview of the state-of-the-art theory and industrial applications. The core articles on evolutionary computation, fuzzy co |
| 出版日期 | Conference proceedings 2000 |
| 关键词 | algorithms; chaos; cognition; databases; evolution; evolutionary algorithm; evolutionary computation; genet |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4471-0509-1 |
| isbn_ebook | 978-1-4471-0509-1 |
| copyright | Springer-Verlag London Limited 2000 |
发表于 2025-3-21 19:06:04
