Instantaneously Trained Neural Networks

2006/01/30 by Abhilash Ponnath, Ponnath, Abhilash · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Neural and Evolutionary Computing (cs.NE) #cs.AI #cs.NE

paper · pdf · doi:10.48550/arxiv.cs/0601129

13 pages

arxiv created 2006/01/30 · arxiv updated 2009/12/01

Abstract

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.

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