| Description |
xiv, 415 pages : illustrations ; 24 cm |
| Contents |
1. Introduction to knowledge-based intelligent systems -- 2. Rule-based expert systems -- 3. Uncertainty management in rule-based expert systems -- 4. Fuzzy expert systems -- 5. Frame-based expert systems -- 6. Artificial neural networks -- 7. Evolutionary computation -- 8. Hybrid intelligent systems -- 9. Knowledge engineering and data mining |
| Summary |
"Artificial Intelligence is often perceived as being a highly complicated, even frightening subject in Computer Science. This view is compounded by books in this area being crowded with complex matrix algebra and differential equations - until now. This book, evolving from lectures given to students with little knowledge of calculus, assumes no prior programming experience and demonstrates that most of the underlying ideas in intelligent systems are, in reality, simple and straightforward."--BOOK JACKET |
| Bibliography |
Includes bibliographical references and index |
| Subject |
Expert systems (Computer science)
|
|
Artificial intelligence.
|
| LC no. |
2004051817 |
| ISBN |
0321204662 case alkaline paper |
|
