Instantaneously Trained Neural Networks

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dc.creatorPonnath, Abhilash
dc.date2006-01-30
dc.date.accessioned2026-07-07T06:58:01Z
dc.date.available2026-07-07T06:58:01Z
dc.descriptionThis 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.
dc.description13 pages
dc.identifierhttps://arxiv.org/abs/cs/0601129
dc.identifierhttp://arxiv.org/abs/cs/0601129
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/107195
dc.subjectNeural and Evolutionary Computing
dc.subjectArtificial Intelligence
dc.titleInstantaneously Trained Neural Networks
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