Limitations and future trends in neural computation
著者
書誌事項
Limitations and future trends in neural computation
（NATO science series, ser. 3 . Computer and systems sciences ; v. 186）
IOS Press , Distributor in Japan, Ohmsha, c2003
- : IOS Press
- : Ohmsha
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注記
"Published in cooperation with NATO Scientific Affairs Division"
"Proceedings of the NATO Advanced Research Workshop on Limitations and Future Trends in Neural Computation 22-24 October 2001, Siena, Italy" -- T.p. verso
Includes bibliographical references and index
内容説明・目次
内容説明
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. The problem of loading the weights of neural networks, which is often framed as continuous optimization, has been the target of many criticisms, since the potential solution of any learning problem is limited by the presence of local minimal in the error function. The notion of efficient solution needs to be formalized so as to provide useful comparisons with the traditional theory of computational complexity in the discrete setting. It also covers up-to-date developments in computational mathematics.
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