| 书目名称 | Soft Computing in Engineering Design and Manufacturing |
| 编辑 | P. K. Chawdhry,R. Roy,R. K. Pant |
| 视频video | |
| 概述 | Some 47 contributions cover state-of-the-art techniques and applications of soft computing which will stimulate further advances * With cross references between the various topics and |
| 图书封面 |  |
| 描述 | Soft Computing has emerged as an important approach towards achieving intelligent computational paradigms where key elements are learning from experience in the presence of uncertainties, fuzzy belief functioos, and ·evolutioo of the computing strategies of the learning agent itself. Fuzzy, neural and evolutionary computing are the three major themes of soft computing. The book presents original research papers dealing with the theory of soft computing and its applicatioos in engineering design and manufacturing. The methodologies have been applied to a large variety of real life problems. Applicatioo of soft computing has provided the opportunity to integrate human like ‘vagueness‘ and real life ‘uncertainty‘ to an otherwise ‘hard‘ computer programme. Now, a computer programme can learn, adapt, and evolve using soft computing. The book identifies the strengths and Iimitatioos of soft cOOlputing techniques, particularly with reference to their engineering applications. The applications range fran design optimisatioo to scheduling and image analysis. Goal optimisatioo with incomplete infmnatioo and under uncertainty is the key to solving real-life problems in design and manufacturin |
| 出版日期 | Conference proceedings 1998 |
| 关键词 | Scheduling; artificial neural network; cognition; evolution; evolutionary algorithm; genetic programming; |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4471-0427-8 |
| isbn_softcover | 978-3-540-76214-0 |
| isbn_ebook | 978-1-4471-0427-8 |
| copyright | Springer-Verlag London 1998 |
发表于 2025-3-21 19:55:32
