| 書(shū)目名稱(chēng) | Innovative Teaching and Learning |
| 副標(biāo)題 | Knowledge-Based Para |
| 編輯 | Lakhmi C. Jain (Director) |
| 視頻video | http://file.papertrans.cn/468/467501/467501.mp4 |
| 概述 | Useful help to develop successful learning and teaching tools for the teaching of knowledge-based paradigms |
| 叢書(shū)名稱(chēng) | Studies in Fuzziness and Soft Computing |
| 圖書(shū)封面 |  |
| 描述 | Presented are innovative teaching and learning techniques for the teaching of knowledge-based paradigms. The main knowledge-based intelligent paradigms are expert systems, artificial neural networks, fuzzy systems and evolutionary computing. Expert systems are designed to mimic the performance of biological systems. Artificial neural networks can mimic the biological information processing mechanism in a very limited sense. Evolutionary computing algorithms are used for optimization applications, and fuzzy logic provides a basis for representing uncertain and imprecise knowledge. |
| 出版日期 | Book 2000 |
| 關(guān)鍵詞 | artificial intelligence; artificial neural network; evolution; evolutionary computation; expert system; f |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-7908-1868-0 |
| isbn_softcover | 978-3-7908-2465-0 |
| isbn_ebook | 978-3-7908-1868-0Series ISSN 1434-9922 Series E-ISSN 1860-0808 |
| issn_series | 1434-9922 |
| copyright | Physica-Verlag Heidelberg 2000 |