Innovative Teaching and Learning: Knowledge-Based Paradigms
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 bi...
Saved in:
| Other Authors: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Heidelberg
Physica-Verlag HD
2000
|
| Series: | Studies in Fuzziness and Soft Computing
36 |
| Subjects: | |
| Online Access: | FHI01 BTU01 Volltext |
| Summary: | 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 |
| Physical Description: | 1 Online-Ressource (XII, 334 p) |
| ISBN: | 9783790818680 |
| DOI: | 10.1007/978-3-7908-1868-0 |
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| id | DE-604.BV045149604 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:10:04Z |
| institution | BVB |
| isbn | 9783790818680 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030539303 |
| oclc_num | 862548319 |
| open_access_boolean | |
| owner | DE-573 DE-634 |
| owner_facet | DE-573 DE-634 |
| physical | 1 Online-Ressource (XII, 334 p) |
| psigel | ZDB-2-ENG ZDB-2-ENG_2000/2004 ZDB-2-ENG ZDB-2-ENG_2000/2004 ZDB-2-ENG ZDB-2-ENG_Archiv |
| publishDate | 2000 |
| publishDateSearch | 2000 |
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| publisher | Physica-Verlag HD |
| record_format | marc |
| series2 | Studies in Fuzziness and Soft Computing |
| spelling | Innovative Teaching and Learning Knowledge-Based Paradigms edited by Lakhmi C. Jain Heidelberg Physica-Verlag HD 2000 1 Online-Ressource (XII, 334 p) txt rdacontent c rdamedia cr rdacarrier Studies in Fuzziness and Soft Computing 36 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 Computer Science Artificial Intelligence (incl. Robotics) IT in Business Computer science Information technology Business / Data processing Artificial intelligence Jain, Lakhmi C. edt Erscheint auch als Druck-Ausgabe 9783790824650 https://doi.org/10.1007/978-3-7908-1868-0 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Innovative Teaching and Learning Knowledge-Based Paradigms Computer Science Artificial Intelligence (incl. Robotics) IT in Business Computer science Information technology Business / Data processing Artificial intelligence |
| title | Innovative Teaching and Learning Knowledge-Based Paradigms |
| title_auth | Innovative Teaching and Learning Knowledge-Based Paradigms |
| title_exact_search | Innovative Teaching and Learning Knowledge-Based Paradigms |
| title_full | Innovative Teaching and Learning Knowledge-Based Paradigms edited by Lakhmi C. Jain |
| title_fullStr | Innovative Teaching and Learning Knowledge-Based Paradigms edited by Lakhmi C. Jain |
| title_full_unstemmed | Innovative Teaching and Learning Knowledge-Based Paradigms edited by Lakhmi C. Jain |
| title_short | Innovative Teaching and Learning |
| title_sort | innovative teaching and learning knowledge based paradigms |
| title_sub | Knowledge-Based Paradigms |
| topic | Computer Science Artificial Intelligence (incl. Robotics) IT in Business Computer science Information technology Business / Data processing Artificial intelligence |
| topic_facet | Computer Science Artificial Intelligence (incl. Robotics) IT in Business Computer science Information technology Business / Data processing Artificial intelligence |
| url | https://doi.org/10.1007/978-3-7908-1868-0 |
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