Limitations and future trends in neural computation / edited by Sergey Ablameyko [and others]
This work reports critical analyses on complexity issues in the continuum setting and on generalization to new examples, which are two basic milestones in learning from examples in connectionist models. It also covers up-to-date developments in computational mathematics.
Saved in:
| Online Access: |
Full Text (via ProQuest) |
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| Corporate Author: | |
| Other Authors: | |
| Format: | Conference Proceeding eBook |
| Language: | English |
| Published: |
Amsterdam ; Burke, VA : Tokyo :
IOS Press ; Ohmsha,
©2003.
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| Series: | NATO science series. Computer and systems sciences ;
v. 186. |
| Subjects: |
| Summary: | This work reports critical analyses on complexity issues in the continuum setting and on generalization to new examples, which are two basic milestones in learning from examples in connectionist models. It also covers up-to-date developments in computational mathematics. |
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| Item Description: | "Published in cooperation with NATO Scientific Affairs Division." |
| Physical Description: | 1 online resource (ix, 245 pages) : illustrations. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 1417511508 9781417511501 1601294433 9781601294432 9781586033248 1586033247 9784274905810 4274905810 |
| ISSN: | 1387-6694 ; |