| 書目名稱 | Managing Uncertainty in Expert Systems |
| 編輯 | Jerzy W. Grzymala-Busse |
| 視頻video | http://file.papertrans.cn/624/623227/623227.mp4 |
| 叢書名稱 | The Springer International Series in Engineering and Computer Science |
| 圖書封面 |  |
| 描述 | 3. Textbook for a course in expert systems,if an emphasis is placed on Chapters 1 to 3 and on a selection of material from Chapters 4 to 7. There is also the option of using an additional commercially available sheU for a programming project. In assigning a programming project, the instructor may use any part of a great variety of books covering many subjects, such as car repair. Instructions for mostofthe "weekend mechanic" books are close stylisticaUy to expert system rules. Contents Chapter 1 gives an introduction to the subject matter; it briefly presents basic concepts, history, and some perspectives ofexpert systems. Then itpresents the architecture of an expert system and explains the stages of building an expert system. The concept of uncertainty in expert systems and the necessity of deal- ing with the phenomenon are then presented. The chapter ends with the descrip- tion of taxonomy ofexpert systems. Chapter 2 focuses on knowledge representation. Four basic ways to repre- sent knowledge in expert systems are presented: first-order logic, production sys- tems, semantic nets, and frames. Chapter 3 contains material about knowledge acquisition. Among machine learning techniq |
| 出版日期 | Book 1991 |
| 關(guān)鍵詞 | Frames; addition; algorithms; expert system; fuzzy; fuzzy logic; fuzzy sets; knowledge; knowledge representa |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4615-3982-7 |
| isbn_softcover | 978-1-4613-6779-6 |
| isbn_ebook | 978-1-4615-3982-7Series ISSN 0893-3405 |
| issn_series | 0893-3405 |
| copyright | Springer Science+Business Media New York 1991 |
|Archiver|手機(jī)版|小黑屋|
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