Instantaneously Trained Neural Networks
神经与进化计算
2007-05-23 v1 人工智能
摘要
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.
引用
@article{arxiv.cs/0601129,
title = {Instantaneously Trained Neural Networks},
author = {Abhilash Ponnath},
journal= {arXiv preprint arXiv:cs/0601129},
year = {2007}
}
备注
13 pages