Instantaneously Trained Neural Networks

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Abstract

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This paper presents a review of instantaneously trained neural networks (ITNNs). These networks trade learning time for size and, in the basic model, a new hidden node is created for each training sample. Various versions of the corner-classification family of ITNNs, which have found applications in artificial intelligence (AI), are described. Implementation issues are also considered.
13 pages

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Neural and Evolutionary Computing, Artificial Intelligence

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http://salesiana.dossiersoluciones.com/handle/123456789/107195

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/cs/0601129
 http://arxiv.org/abs/cs/0601129

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arXiv