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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| 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: |
Internet
Full Text (via ProQuest)Online
| Call Number: |
QA76.87 .N37 2001eb
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| QA76.87 .N37 2001eb | Available |